基本信息
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职业迁徙
个人简介
Anand is a serial entrepreneur and computer scientist, currently running Crowdbotics, a startup applying machine learning to software development.
Anand was previously co-founder and Chief Scientist of LeadGenius, a Y Combinator, Sierra Ventures, and Lumia Capital-backed startup using human computation and deep learning to automate account-based marketing (ABM). LeadGenius has raised over $20M in venture funding and developed best-in-class marketing automation technology used by Fortune 500 customers like Google, eBay, and Box. In conjunction with nonprofits like the World Bank, LeadGenius generates fairly-paid digital employment for over 500 individuals in 40 countries.
Anand has been named as one of Forbes Magazine's "30 under 30" Top 30 Entrepreneurs Under 30. Anand has published over a dozen papers in ACM, AAAI and IEEE magazines, journals, and conferences. Anand previously held a National Science Foundation graduate research fellowship in mathematics. He holds degrees in Industrial Engineering and Operations Research, Mathematics, and Physics from UC Berkeley.
Specialties: Crowd computing, machine learning, theory of algorithms, operations research, linear and nonlinear optimization, microwork, computational geometry, mathematical modeling, robotics, telerobotics
Anand was previously co-founder and Chief Scientist of LeadGenius, a Y Combinator, Sierra Ventures, and Lumia Capital-backed startup using human computation and deep learning to automate account-based marketing (ABM). LeadGenius has raised over $20M in venture funding and developed best-in-class marketing automation technology used by Fortune 500 customers like Google, eBay, and Box. In conjunction with nonprofits like the World Bank, LeadGenius generates fairly-paid digital employment for over 500 individuals in 40 countries.
Anand has been named as one of Forbes Magazine's "30 under 30" Top 30 Entrepreneurs Under 30. Anand has published over a dozen papers in ACM, AAAI and IEEE magazines, journals, and conferences. Anand previously held a National Science Foundation graduate research fellowship in mathematics. He holds degrees in Industrial Engineering and Operations Research, Mathematics, and Physics from UC Berkeley.
Specialties: Crowd computing, machine learning, theory of algorithms, operations research, linear and nonlinear optimization, microwork, computational geometry, mathematical modeling, robotics, telerobotics
研究兴趣
论文共 27 篇作者统计合作学者相似作者
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CSCWpp.311-314, (2017)
引用27浏览0EI引用
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CSCW '13: Computer Supported Cooperative Work
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UISTpp.151-162, (2013)
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引用23浏览0引用
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user-5fe1a78c4c775e6ec07359f9(2012)
引用3浏览0引用
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CSCW '12: Computer Supported Cooperative Work
Seattle
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February, 2012pp.1003-1012, (2012)
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