Faculty

Research Areas

  • Computational Methods and Data Analysis
  • Thermodynamics
  • Nanotechnology
  • Sustainability
  • Advanced Materials
  • Polymers at the End of Life
  • Circular Economies

Additional Information

  • 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

Additional Information

  • 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
    • IEEE
    • ACM
  • 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.

Additional Information

  • 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

Additional Information

  • 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)

Additional Information

  • 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

Additional Information

  • 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

Additional Information

  • 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

Additional Information

  • 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

Additional information

  • 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

  • Astrophysics and Astronomy
  • Plasma Physics (Controlled Fusion)
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Energy Science
  • Advanced Materials

Additional Information

  • Professional Experience
    • Professor Emeritus, Applied Physics, Columbia University, 2026-present
    • Professor, Applied Physics, Columbia University, 1995 –2026
    • Editor-in-Chief, Physics of Plasmas, 2016 –
    • Chairman, Dept. of Applied Physics and Applied Mathematics, 2000-2006
    • Associate Editor, Physics of Plasmas, 2003-2015
    • Associate Editor, Journal of Fusion Energy, 2014-2015
    • Associate Professor, Dept. of Applied Physics, Columbia University, 1990 – 1995
    • Assistant Professor, Dept. of Applied Physics, Columbia University, 1985 – 1990
    • Instructor, Dept. of Electrical Engineering, M.I.T., 1984 – 1984
  • Professional Affiliations
    • American Physical Society
  • Honors & Awards

    • Leadership Award, Fusion Power Associates, 2020

    • Associate of the U.S. National Academies, 2020

    • Jefferson Science Fellow, National Academies, U.S. Dept. of State, 2006-2007
    • Certificate of Appreciation, U.S. Dept. of State, 2007
    • Rose Award for Excellence in Fusion Engineering, Fusion Power Associates, 2000
    • Fellow, American Physical Society, 1995
    • Teacher of the Year, 1994, elected by Columbia’s School of Engineering Undergraduates
    • Certificate of Appreciation, U.S. Dept. of Energy, 1989
    • I.E.E.E. Fortesque Fellowship, 1978 – 1979
    • Guillemin Prize for undergraduate thesis in Electrical Engineering
  • Education
    • Sc.D. (EE) 1983, Massachusetts Institute of Technology
    • M.S. (EE) 1979, Massachusetts Institute of Technology
    • B.S. (EE) 1978, Massachusetts Institute of Technology

Research Areas

  • Computational Biology
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Computational Biology

Additional information

  • 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

Research Areas

  • Cell & Tissue Engineering
  • Drug Delivery
  • Microfluidics and Lab-on-a-Chip Technology
  • Systems Biology and Synthetic Biology

Additional information

  • Professional Experience
    • Associate Professor of Biomedical Engineering, Columbia University (with tenure), 2023-present
    • Associate Professor of Biomedical Engineering, Columbia University (tenure track), 2020-2023
    • Assistant Professor of Biomedical Engineering, Columbi University, 2016-2020
  • Professional Affiliations
    • Member, Data Science Institute, Columbia University, 2016 - present  
    • Member, Herbert Irving Comprehensive Cancer Center, Columbia University, 2016 - present  
  • Honors & Awards
    • CZI Biohub Investigator, 2025
    • AIMBE Fellow, 2025
    • Research Rebel Award, Charlie Teo Foundation, 2024
    • Pershing Square Sohn Prize, 2020
    • Lloyd J. Old STARs Award from Cancer Research Institute (CRI), 2020
    • NSF CAREER Award, 2019
    • ALCF Young Innovators Team Awards (YITA) with Dr. Arpaia, 2018
    • Breast Cancer Research Foundation-AACR Career Development Award, 2017
    • Department of Defense Era of Hope Scholar Award, 2016
    • NIH Pathway to Independence Award (K99/R00), 2015
    • TED Fellow, 2015
    • New England Biolabs Passion in Science Award, 2014
    • NIH Research Service Award (F32/NRSA), 2012
    • Department of Energy Computational Science Graduate Fellowship (DoE CSGF), 2006
    • Arnold and Mabel Beckman Undergraduate Research Scholar, 2002
    • California Governor's Math and Science Scholar, 2001

  • Education
    • PhD, Bioengineering, University of California, San Diego
    • BS, Physics, University of California, Los Angeles
    • BS, Mathematics, University of California, Los Angeles
    • BS, Chemistry, University of California, Los Angeles