Cofounder, Thread Manager
CurrentTowards systematic breakthroughs via personal AI tools for scientists and investors (an experiment in public VC).Community: www.context.fundProducts: verificationgpt.org
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Chris Lengerich is listed as Recruiting ML experts/investors for special projects at Context Fund, based in Stanford, California, United States. AeroLeads shows phone signal with area code 717 and a matched LinkedIn profile for Chris Lengerich.
Chris Lengerich previously worked as Cofounder, Thread Manager at Context Fund and Venture Partner at Pioneer Fund. Chris Lengerich studied at Y Combinator.
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Q: How do we make scientists and engineers 100x more productive to solve problems that matter?A: www.context.fundEssays: www.chrislengerich.com (rarely update LinkedIn)
Listed skills include Mathematics, Tourism, Writing, Fortran, and 50 others.
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Towards systematic breakthroughs via personal AI tools for scientists and investors (an experiment in public VC).Community: www.context.fundProducts: verificationgpt.org
朝阳区, 北京市, CN
Invest in great companies, especially those in women's health, D2C health, genomics, perception and deep RL.
San Francisco, US
First Cap is a wealth management group of nice graduates of top PhD programs (Stanford, MIT, etc.), successful entrepreneurs and financial professionals building scalable, diversified investment strategies even our parents can invest in. We're mostly from quantitative founder backgrounds and use growth-oriented long-term strategies. In aggregate, we have.
Menlo Park, CA, US
How do we make scientists and engineers 100x more productive to solve problems that matter?- Co-founded CodeCompose- Research on contrastive value theory and self-learning for LLMs
Mountain View, CA, US
- Unlocking human potential via personalized language learning modules for job seekers, powered by AI. 2 years of hard ML x early product and engineering.- Launched in Indonesia.- Press: https://www.youtube.com/watch?v=CklGdMyLIlM&t=2502
New York, NY, US
Arthena is the first company to offer pricing guarantees for art pieces. These pieces sell for between$1MM - $10MM.- Improved accuracy of core art pricing task ~30% relative in a month. New architecture requires fewer features than prior model and can be trained ~60x faster. Prior model had been in development for almost a year (moderately strong.
Helped start company supporting women through the menopause transition- Grew team from two to five experts (5-20 years’ experience in their respective fields).- Found a well-loved product - the single-most upvoted post on the menopause subreddit by ~2x:https://www.reddit.com/r/Menopause/comments/9z7ifu/menopause_forum_moderated_by_friendly_obgyns/- Got the.
Menlo Park, CA, US
Making healthcare more efficient. Launched menopause startup (above).
Built world-class voice search for e-commerce companies. Imagine using your voice and a cellphone to search and purchase products - that's the experience that we made possible. Competed against the best in the world, made customers happy but didn't have a path to winning the market (backed by YC, Pear and Zhenfund). Wrote a beautiful technical stack that I.
Mountain View, CA, US
Tracked noisy pulse rates on a watch deployed to 10,000 volunteers in the Google Baseline Study. Primary machine learning scientist and wrote full-stack and infrastructure features as well (compression algos, data pipelines, UI, etc.). Published 2 patents on machine learning and EE techniques for the work. Project spun off into what has become Verily.
Stanford, CA, US
CS 229 (twice). CS 231A. CS 110. CS 155.Gave lectures and held office hours for machine learning, computer vision, computer security and computer architecture and design courses.
Mountain View, CA, US
Kept the stack healthy. Shipped a Scala web service for deployment and version control used throughout the company.Allowed non-developers to query millions of user profiles in seconds rather than hours. Shipped another new service.Assisted Chinese/English negotiations for the first Netease.com partnership, consulted on design of first i18n framework.
Increased translation coverage by 12% for O(10^8) strings on the Facebook platform. Received intern award for the work.
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Chris Lengerich works for Context Fund.
Chris Lengerich is listed as Recruiting ML experts/investors for special projects at Context Fund.
AeroLeads has found 2 phone signal(s) with area code 717 for Chris Lengerich at Context Fund.
Chris Lengerich is based in Stanford, California, United States while working with Context Fund.
Chris Lengerich has worked for Context Fund, Pioneer Fund, Zhenfund 真格基金, First Cap, and Meta.
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Chris Lengerich studied at Y Combinator.
Chris Lengerich is listed with skills including Mathematics, Tourism, Writing, Fortran, International, Public Speaking, International Trade, and Code.
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