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Mark Chen is a SVP of Research at OpenAI at OpenAI. He possess expertise in probability, statistics, problem solving, algorithms, data structures and 5 more skills.
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Svp Of ResearchOpenai Sep 2024 - PresentSan Francisco, Ca, Us -
Head Of Frontiers ResearchOpenai Oct 2018 - PresentSan Francisco, Ca, Us -
Partner, Quantitative ResearchIntegral Technology Llc Jul 2016 - Aug 2018
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Quantitative ResearchTech Square Trading Aug 2012 - Jan 2016
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Trading InternJane Street Jan 2012 - Feb 2012New York, Ny, Us -
Visiting ScholarHarvard University Jun 2011 - Aug 2011Cambridge, Massachusetts, UsSee A. Hilfinger, M. Chen, J. Paulsson, "Using temporal correlations and full distributions to separate intrinsic and extrinsic fluctuations in biological systems" Physical Review Letters. -
Software Developer Engineer InternMicrosoft Jun 2010 - Aug 2010Redmond, Washington, UsCreated an online health measure for machines in Microsoft's distributed data/query system, taking into account features such as remaining free space, heartbeat length, and past maintenances.
Mark Chen Skills
Mark Chen Education Details
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Massachusetts Institute Of TechnologyMathematics With Computer Science -
National Experimental High School
Frequently Asked Questions about Mark Chen
What company does Mark Chen work for?
Mark Chen works for Openai
What is Mark Chen's role at the current company?
Mark Chen's current role is SVP of Research at OpenAI.
What is Mark Chen's email address?
Mark Chen's email address is ma****@****ail.com
What is Mark Chen's direct phone number?
Mark Chen's direct phone number is +161790*****
What schools did Mark Chen attend?
Mark Chen attended Massachusetts Institute Of Technology, National Experimental High School.
What are some of Mark Chen's interests?
Mark Chen has interest in Mathematics, Scientific Research, Education Reform, Nba, Physics, Computer Science, Science, Education, Television, Probability.
What skills is Mark Chen known for?
Mark Chen has skills like Probability, Statistics, Problem Solving, Algorithms, Data Structures, C++, Python, Computer Science, Machine Learning, Distributed Systems.
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