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Computational Engineering & AI
Computational Engineering & AI
Research Areas Graphics and User Interfaces Artificial Intelligence (AI) and Machine Learning (ML) Human-Computer Interaction (HCI) Vision and Robotics Accessibility Technology Augmented Reality (AR) & Virtual Reality (VR) Visualization Wireless, Embedded & Sensor Systems
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Professional Experience
Associate Professor of Computer Science, Columbia University, 2025- Assistant Professor of Computer Science, Columbia University, 2019-2025 Research Scientist, Snap Inc., 2018-2022 Software Engineering Intern, PhD, Google Research, 2014 Software Engineering Intern, PhD, Google Inc., 2012 Game Design and Development Intern, Funtank, LLC, 2010 Sophomore Summer Analyst, Bank of America Securities, 2007
Professional Affiliations
Affiliate Member, Data, Media, and Society Center, Data Science Institute; Affiliate Member, Smart Cities Center, Data Science Institute; Member, Association for Computing Machinery (ACM)
Honors & Awards
Best Academic Research, Game Accessibility Conference, 2024 NSF CAREER Award, National Science Foundation, 2024 Janette and Armen Avanessians Diversity Award, Columbia Engineering, 2023 Google Award for Inclusion Research (AIR), Google, Inc., 2022 Distinguished Faculty Teaching Award, Columbia Engineering Alumni Association (CEAA), 2021 Kavli Fellow, National Academy of Sciences, 2019 “From Data to Solutions” Integrative Graduate Education & Research Traineeship (IGERT), National Science Foundation, 2015 National Defense Science and Engineering Graduate (NDSEG) Fellowship, U.S. Dept. of Defense, 2011 Center for Technology, Innovation, & Community Engagement Fellowship, Columbia Engineering, 2009 Costantino Colombo Outstanding Leadership Service Award, Columbia Engineering, 2009
Education
PhD, Computer Science, Columbia University MPhil, Computer Science, Columbia University MS, Computer Science, Columbia University BS, Computer Science, Columbia University
Research Areas Artificial Intelligence (AI) and Machine Learning (ML) Computational Science and Engineering Control Theory Approximation Theory Numerical Analysis Partial Differential Equations Probability and Statistics Computational (Mathematical) Biology Data Science Network Science Numerical Analysis Nonlinear and Random Media Computational Fluid Dynamics
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Professional Experience
Fu Foundation Professor of Applied Mathematics, Columbia University, 2014- Verne M. Willaman Professor of Mathematics, Penn State University, 2006-2014 Professor of Materials Science and Engineering, Penn State University, 2005-2014 Professor of Mathematics, Penn State University, 2001-2016
Honors & Awards
Member, American Academy of Arts and Sciences, 2026 Frontiers of Science Award, 2024 USACM Thomas J.R. Hughes Medal, 2021 SIAM Review SIGEST Award 2020 Fellow, American Mathematical Society, 2020 Invited speaker of International Congress of Mathematicians, 2018 Fellow, American Association for the Advancement of Science, 2017 ACM Gordon Bell Prize Finalist 2016, for the world’s largest extreme-scale simulations using the most powerful supercomputer on earth SIAM Outstanding Paper prize 2016 , for a paper published in SIAM J. Numerical Analysis (coauthored with PhD student Xiaochuan TIan) on numerical methods for nonlocal models Fellow, Society of Industrial and Applied Mathematics, 2013 Feng Kang Prize in Scientific Computing, 2008
Education
PhD, Mathematics, Carnegie Mellon University MS, Applied Mathematics, Carnegie Mellon University BS, Mathematics, University of Science and Technology of China
Research Areas Computational Methods and Data Analysis Thermodynamics Nanotechnology Sustainability Advanced Materials Polymers at the End of Life Circular Economies
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Professional Experience
Bykhovsky Professor of Chemical Engineering, Columbia University, 2016– Chair of Chemical Engineering, Columbia University, 2010-2016 Professor of Chemical Engineering, Columbia University, 2006- Professor of Chemical Engineering, Renssalaer Polytechnic Institute, 2002-2006 Professor of Materials Science & Engineering, Penn State University, 1997-2002 Associate professor of Materials Science & Engineering, Penn State University, 1993-1997 Assistant professor of Materials Science & eEngineering, Penn State University, 1988-1993
Professional Affiliations
American Physical Society American Chemical Society American Institute of Chemical Engineers
Honors & Awards
Polymer Physics Prize, American Physical Society (APS), 2021 Chair, Gordon Conference, Polymer Physics, 2020 Associate editor, Soft Matter, 2017- Chair, APS Polymer Physics Division, 2017-18 Editor, NPJ Computational Materials, 2016-2017 Editor, Journal of Polymer Science, 2002-2007 Fellow, American Physical Society, 1999
Research Areas Security and privacy Artificial Intelligence (AI) and Machine Learning (ML) Data privacy Cybersecurity Quantum computing
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Professional Experience
Professor of Computer Science, Columbia University, 1997- Chair of Computer Science, Columbia University, 1986-1987 Tenured Associate Professor of Computer Science, Columbia University, 1987-1997 Associate Professor of Computer Science, Columbia University, 1984-1987 Assistant Professor of Computer Science, Columbia University, 1979–1984
Professional Affiliations
Honors & Awards
Popular Science Award of “What Best of what’s new”, 2016. IBM Faculty Career Development Award Numerous best paper awards and IEEE Security & Privacy “most influential” paper. IEEE and ACM Fellow.
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Research Areas
Artificial Intelligence (AI) and Machine Learning (ML) Applied and Theoretical Machine Learning Causal Inference Economics & Computation Data Analytics Supply Chain Management Business Analytics Digital Finance & Technology E-Commerce Financial Technology Matching Platforms Real Estate Technology Urban Logistics
Research Areas Transportation Engineering Artificial Intelligence (AI) and Machine Learning (ML) Causal Inference Game Theory Optimization Urban Logistics Law of Autonomous Driving Public Health and Transportation
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Professional Experience
Assistant Professor of Civil Engineering and Engineering Mechanics, Columbia University, 2016–2020 Associate Professor of Civil Engineering and Engineering Mechanics, Columbia University, 2020–
Professional Affiliations
IEEE Intelligent Transportation Systems Society (ITSS) Association for Computing Machinery (ACM) Institute of Transportation Engineers (ITE) Institute for Operations Research and the Management Sciences (INFORMS) Women’s Transportation Seminar (WTS)
Honors & Awards
Winner of International Data Corporation’s Smart Cities North America Awards, 2023 Best Paper Award, ACM SIGKDD Workshop on Urban Computing (UrbComp), 2022 Transportation Science Meritorious Service Award (INFORMS), 2022 Visiting research fellow at Bielefeld University, Germany, 2021-2023 National Science Foundation, CAREER Award, 2020 Amazon AWS Machine Learning Research Award, 2020 Transportation Data Analytics Contest Winner, Transportation Research Board (TRB), 2017 Dafermos Best Paper Award Honorable Mention, TRB Network Modeling Committee, 2017 Chan Wui & Yunyin Rising Star Workshop Fellowship for Early Career Professionals, TRB (only 6 fellows were selected internationally), 2016 ITS SIG Outstanding Presentation Award, INFORMS, 2013
Education
PhD, Civil, Environmental, and Geo- Engineering, University of Minnesota, Twin Cities BS, Civil Engineering, Tongji University
Research Areas Graphics and User Interfaces Natural Language Processing and Speech Artificial Intelligence (AI) and Machine Learning (ML) Human-Computer Interaction (HCI) Artificial Intelligence Design Automation Generative AI & Large Language Models (LLMs) Human-Computer Interaction (HCI)
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Education
PhD, Computer Science, University of Washington MEng, Electrical Engineering and Computer Science, MIT BS, Electrical Engineering and Computer Science, MIT BS, Economics, MIT
Research Areas Risk Management Materials Design Emergence Income Inequality Artificial Intelligence Statistical Mechanics Game Theory Systems Engineering
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Professional Experience
Samuel Ruben-Peter G. Viele Professor of Engineering, Department of Chemical Engineering, Columbia University, 2012 – Professor of industrial engineering and operations research (Affiliated), Columbia University, 2013 - Professor of computer science (Affiliated), Columbia University, 2012 – Reilly Professor of Chemical Engineering, Purdue University, 2011 – 2012 Professor of chemical engineering, Purdue University, 1995 - 2011 Associate professor of chemical engineering, Purdue University, 1988 - 1995 Assistant professor of chemical engineering, Columbia University, 1985 - 1988
Professional Affiliations
American Institute of Chemical Engineers Association for the Advancement of Artificial Intelligence
Honors & Awards
Roger S. H. Sargent Lecturer, Imperial College of Science, Technology, and Medicine, London, U.K., 2015 Top three most cited papers, out of 2072 papers published, in Computers & Chemical Engineering, 2003-2013 Fellow, American Institute of Chemical Engineers, 2011 Computing in Chemical Engineering, AIChE, 2009 Norris Shreve Prize Outstanding Teaching, Purdue University, 1993, 2004, 2006
Research Areas Economics & Computation Game Theory
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Professional Experience
Associate professor, Computer Science, Columbia University, 2015 – now Assistant professor, Computer Science, Columbia University, 2011 – 2015
Honors & Awards
SIAM Outstanding Paper Award, 2016 EATCS Presburger Award, 2015 Alfred P. Sloan Research Fellowship, 2012 NSF CAREER Award, 2012
Research Areas Economics & Computation Game Theory Algorithms Theoretical Computer Science
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Professional Experience
Percy K. and Vida L. W. Hudson Professor of Computer Science, Columbia University, 2004- Professor of Computer Science, Stanford University, 2002–2003 Head, Computing Principles Research Department, Avaya Laboratories, 2001-2002 Head, Computing Principles Research Department, Bell Laboratories, 1991-2001 Member of Technical Staff, Computing Science Research Center, Bell Laboratories, 1978-1991
Professional Affiliations
Association for Computing Machinery (ACM)
Honors & Awards
John von Neumann Theory Prize, INFORMS, 2023 Member, American Academy of Arts and Sciences, 2020 EATCS Award, 2020 Member, National Academy of Sciences, 2018 Member, Academia Europaea, 2013 Member, National Academy of Engineering, 2011 Knuth Prize, 2005 Fellow, Association for Computing Machinery (ACM), 1998 Fellow, Bell Laboratories, 1997
Education
PhD, Computer Science, Princeton University MS, Computer Science, Princeton University BS, Electrical Engineering, National Technical University of Athens
Research Areas Data Analytics Decision Analysis Optimization Resource Allocation Risk Management Stochastic Modeling and Simulation Business Analytics
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Professional Experience
Associate Professor, Industrial Engineering and Operations Research, Columbia University, 2017- Assistant Professor, Industrial and Operations Engineering, University of Michigan, Ann Arbor, 2015–2017 Assistant Professor, Mathematics and Statistics, Boston University, 2011–2014
Professional Affiliations
Associate Editor, Operations Research, 2015- Associate Editor, INFORMS Journal on Computing, 2016- Editorial Board, Stochastic Models, 2019- Editorial Board, Journal of Applied Probability / Advances in Applied Probability, 2020 Associate Editor, Manufacturing and Service Operations Management, 2021- Associate Editor, Queueing Systems, 2022- Area Editor, Stochastic Models and Data Science, Operations Research Letters, 2022- INFORMS Simulation Society Secretary, 2022- INFORMS Applied Probability Society Vice-Chair, 2022-
Honors & Awards
Best Theoretical Paper, Winter Simulation Conference, 2023 INFORMS Outstanding Simulation Publication Award, 2022 JPMorgan Chase Faculty Research Award, 2020 Finalist, Best Theoretical Paper, Winter Simulation Conference, 2020 Best Theoretical Paper, Winter Simulation Conference, 2018 NSF Faculty Early Career Development (CAREER) Award, 2017 INFORMS Junior Faculty Interest Group (JFIG) Paper Competition, Second Prize, 2016 Adobe Faculty Research Award, 2016 Finalist, Best Theoretical Paper, Winter Simulation Conference, 2016 NSA Young Investigator Award, 2013 INFORMS Junior Faculty Interest Group (JFIG) Paper Competition, Finalist, 2012 INFORMS George Nicholson Student Paper Competition Honorable Mention Prize, 2010
Education
PhD, Statistics, Harvard University MA, Statistics, Harvard University BS, Actuarial Science, University of Hong Kong
Research Areas Computational Biology Artificial Intelligence (AI) and Machine Learning (ML) Computational Biology
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Professional Experience
Associate Professor, Computer Science, Columbia University, 2024 - Assistant Professor, Computer Science, Columbia University, 2019 - 2024 Core Faculty Member, New York Genome Center, 2019 - Interdisciplinary Appointee, Systems Biology, Columbia University, 2019 - Affiliate Member, Data Science Institute, Columbia University, 2019 -
Education
PhD, Information Engineering, University of Cambridge MSc, Bioinformatics and Systems Biology, Imperial College London BA & MEng, Information Engineering, University of Cambridge