Helping startups start up. I look for visionary founders with unique technical and market insights, backed by strong engineering teams.
Invested in, advised, and/or mentored dozens of early stage startups. Exits to Slack, Google, Autodesk, Rakuten, Niantic, and others.
Software R&D
Scalar Labs invests in and partners with early stage startups and entrepreneurs, helping develop their initial prototypes and technology platforms, focusing on areas related to search and machine learning.
First hotel room-level search engine that tells you the best rooms to request before checking in. Includes interactive floor plans, simulated room views from each window, and other room-level details. Technology and engineering division acquired by Google in 2014.
Member of Web Search Rankings division; research and development of novel web search ranking algorithms, primarily focused on personalized and context-sensitive search
Co-founded startup that researched, developed, and commercialized a web-scale personalized search engine. Acquired by Google, Inc. in 2003.
TA for Information Retrieval, Mining, and Exploitation, with Professors Christopher Manning, Prabhakar Raghavan, and Hinrich Schütze
TA for Information Retrieval and Distributed Databases, with Professor Prabhakar Raghavan
Developed term-clustering algorithms based on web-scale data mining. Mentor: Monika Henzinger
Provided expertise in web mining algorithms to mobile technology startup
Worked with Aspect Oriented Programming team on developing tool to analyze source code to find cross-cutting aspects. Mentor: Gregor Kiczales
Developed tool for modeling Smart Matter using cellular automata. Mentor: Roy Want
Part of Department Of Energy Superkids program that provided selected high-school students research experience on parallel programming for Cray supercomputers at LLNL.