Michael Franklin
Fundador en Truviso, Inc. .
Relaciones activas
Nombre | Sexo | Edad | Empresas relacionadas | Colaboración |
---|---|---|---|---|
Sailesh Krishnamurthy | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund.
University of California, Berkeley
| 21 años |
Alexander Russakovsky | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | - |
Christopher Reid | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | - |
Curtis Brown | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | 14 años |
Thomas E. Rowley | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | - |
Thomas C. Kuhr | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | - |
Shaun Lowry | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | 14 años |
Roman Bukary | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | - |
Kim MacPherson | F | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | - |
Paul T. Kostecki | M | 74 |
University of Massachusetts
| 44 años |
Gráfico relacional
Relaciones con varias empresas
Antiguas relaciones
Nombre | Sexo | Edad | Empresas relacionadas | Colaboración |
---|---|---|---|---|
Patrick Scaglia | M | 70 |
University of California, Berkeley
| 15 años |
Ryan Stever | M | - |
University of California, Berkeley
| 4 años |
Megan E. O'Sullivan | F | - |
University of California, Berkeley
| 8 años |
Erica Meta Smith | F | - |
University of California, Berkeley
| 6 años |
Beau Trincia | M | - |
University of California, Berkeley
| 1 años |
Roseanne Wincek | F | - |
University of California, Berkeley
| 6 años |
Keith David Hartt | M | 63 |
University of Massachusetts
| 14 años |
Sabina Gault | F | - |
University of California, Berkeley
| 2 años |
Laura Parada | M | - |
University of California, Berkeley
| 5 años |
Alvise Bonivento | M | - |
University of California, Berkeley
| 5 años |
Ki-Ha Lee | M | - |
University of California, Berkeley
| 5 años |
Marcos Alvarez Conde | M | - |
University of California, Berkeley
| 1 años |
Daniel K. Nomura | M | - |
University of California, Berkeley
| 9 años |
Alic Chen | M | - |
University of California, Berkeley
| 4 años |
Howard Wu | M | - |
University of California, Berkeley
| 5 años |
Jonathan Allen | M | - |
University of California, Berkeley
| 2 años |
Andrew Kam | M | 32 |
University of California, Berkeley
| 5 años |
Josh Ragent | M | - |
University of California, Berkeley
| 4 años |
Eveline Dong | M | - |
University of California, Berkeley
| 6 años |
Joel Drescher | M | - |
University of California, Berkeley
| 5 años |
Tom Beerle | M | - |
University of California, Berkeley
| 7 años |
Michael Trigg | M | - |
Truviso, Inc.
Truviso, Inc. Data Processing ServicesTechnology Services Truviso provides analytics software that gives its customers immediate insight into their businesses through continuous, advanced analysis of live production data. Truviso customers are network-driven businesses whose traditional data warehouse and business intelligence solutions cannot deliver actionable information from production systems quickly enough, or cannot scale efficiently with their rapidly increasing volumes of data. Truviso customers gain the flexibility to combine current and historical data in real time for accurate visibility and action for their marketing, sales, operations teams, as well as their partners and customers. The Internet has changed the fundamentals of business. The social web has created a real-time discussion across devices, geographies, applications and users. The flow of information between businesses and consumers has changed dramatically, but the business intelligence technology being used to understand and take action on these conversations is decades old, and was never meant to be used on live production systems. Marketers, advertisers and content providers need immediate insight to understand, optimize and make the most of their videos, ads, articles, downloads and interactions. Getting information about content use and conversations 24 hours after they happen is simply too late for network-driven companies. The conventional store-first, batch-update relational database approach used by business intelligence tools and data warehouses is poorly suited to today’s “need it now” analytics and reporting requirements, and the enormous volume of data these interactions produce. Network-driven companies have had no option but to apply old constructs and technologies to solve a problem that has fundamentally changed. Truviso’s Continuous Analytics software isn’t a faster way to use dated methodologies, but a revolutionary way to process and analyze data—while still adhering to established data management principals. This continuous query technology enables companies to get detailed information about what’s going on across their network instantly, and also enables the system to handle massive amounts of data that previously required very expensive, dedicated infrastructure and complexity. Truviso has multiple patents pending on its continuous query technology, which was originally conceived in 2001 at the University of California, Berkeley, and makes immediate data processing and results across massive amounts of data possible. Truviso, Inc. was founded in 2005 and is lead by Internet and software veterans along with a team of experts in enterprise data management and analytics. Headquartered in Foster City, California, Truviso is funded by ONSET Ventures, Diamondhead Ventures, and the UPS Strategic Enterprise Fund. | - |
Dave Smith | M | - |
University of California, Berkeley
| 4 años |
Andrew Zhang | M | - |
University of California, Berkeley
| 4 años |
Rodney Eshelman | M | - |
University of California, Berkeley
| 2 años |
Andy Jagoe | M | - |
University of California, Berkeley
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Lap Wai Cheung | M | 41 |
University of California, Berkeley
| 4 años |
Brian Chevalier-Jordan | M | - |
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| 2 años |
Kevin Murphy | M | - |
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Michael Bannon Stokes | M | - |
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Dun Wang | M | 32 |
University of California, Berkeley
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Victor Wang | M | - |
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| 3 años |
Kyle Lui | M | - |
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Adrian Polak | M | - |
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Steven Bruce Rossi | M | - |
University of California, Berkeley
| 4 años |
Michael Nave | M | - |
University of California, Berkeley
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Yadong Li | M | - |
University of California, Berkeley
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Jeremy Fiance | M | - |
University of California, Berkeley
| 4 años |
Lauriston Benjamin Ek | M | - |
University of California, Berkeley
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Kendall Brown | F | - |
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Rishi Jaluria | M | - |
University of California, Berkeley
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Jerry Diao | M | - |
University of California, Berkeley
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Barry Behnken | M | - |
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Jeffrey Morris | M | - |
University of California, Berkeley
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David D. Kim | M | - |
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Jennifer Hwang | F | - |
University of California, Berkeley
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Judy Li | F | - |
University of California, Berkeley
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University of California, Berkeley
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Kun Gao | M | - |
University of California, Berkeley
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Fernando Iván Jasnis | M | 49 |
University of California, Berkeley
| 2 años |
Thomas Lee | M | - |
University of California, Berkeley
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Karina Andrea Maureira | F | - |
University of California, Berkeley
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Amir Hassanabadi | M | - |
University of California, Berkeley
| 4 años |
Peter A. Luber | M | - |
University of California, Berkeley
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Lauren Frasch | F | - |
University of California, Berkeley
| 4 años |
Dae Lee | M | - |
University of California, Berkeley
| 2 años |
Mike S. Cho | M | - |
University of California, Berkeley
| 4 años |
Ayush Singhania | M | - |
University of California, Berkeley
| 4 años |
Ryan W. Braniff | M | - |
University of California, Berkeley
| 1 años |
Dominique Garcia | F | - |
University of California, Berkeley
| 4 años |
Sean Engel | M | - |
University of California, Berkeley
| 4 años |
Seung-Yong Lee | M | 48 |
University of California, Berkeley
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Nicholas Jennings | M | - |
University of California, Berkeley
| 2 años |
Andrew Nesbit | M | - |
University of California, Berkeley
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Farhan Ahmad | M | - |
University of California, Berkeley
| 3 años |
Tammy H. Boggs | F | - |
University of California, Berkeley
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Ryan Foltz | M | - |
University of California, Berkeley
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University of California, Berkeley
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Adolfo Peña | M | - |
University of California, Berkeley
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Taylor Hamilton | M | - |
University of California, Berkeley
| 4 años |
Karthik Sethuraman | M | - |
University of California, Berkeley
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George Madrigal | M | - |
University of California, Berkeley
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Andrew Tran | M | - |
University of California, Berkeley
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University of California, Berkeley
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University of California, Berkeley
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University of California, Berkeley
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Ian Chun | M | - |
University of California, Berkeley
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Paulo Figueiredo de Paula e Silva | M | 50 |
University of California, Berkeley
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Alan Chung | M | - |
University of California, Berkeley
| 4 años |
Rosen Diankov | M | 41 |
University of California, Berkeley
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John T. Ta | M | - |
University of California, Berkeley
| 4 años |
Todd Hodes | M | - |
University of California, Berkeley
| 3 años |
Alex Ortiz | M | - |
University of California, Berkeley
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Ernie Tedeschi | M | - |
University of California, Berkeley
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David Chang | M | - |
University of California, Berkeley
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Jennifer Ng | F | - |
University of California, Berkeley
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Jason Chow | M | - |
University of California, Berkeley
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Sarina Ying | F | - |
University of California, Berkeley
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Adam DiMartino | M | - |
University of California, Berkeley
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Estadísticas
País | Relaciones | % del total |
---|---|---|
Estados Unidos | 100 | 100.00% |
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