Computer Science

Research Areas

  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Applied and Theoretical Machine Learning
  • Artificial Intelligence
  • Computer Science Education
  • Education Technology

Additional Information

  • Professional Affiliations
    • ACM SIGCSE
    • ACM SIGKDD
  • Honors & Awards
    • Presidential Award for Outstanding Teaching, Columbia University, 2016
    • Great Teacher Award, Society of Columbia Graduates, Columbia University, 2016
    • Department of Computer Science Faculty Teaching Award, Columbia University, 2009
    • Distinguished Faculty Teaching Award, SEAS Alumni Association, Columbia University, 2002

Research Areas

  • Security and Privacy
  • Software Systems
  • Computer Architecture and Engineering
  • Networks and Distributed Systems
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Applied and Theoretical Machine Learning
  • Computer Architecture
  • Cloud Computing
  • Design Automation
  • Economics & Computation
  • Generative AI & Large Language Models (LLMs)
  • Operating Systems
  • Programming Languages
  • Robotics and Autonomous Systems
  • Trustworthy Computing
  • Cybersecurity
  • Quantum Computing

Additional Information

  • Professional Affiliations
    • IEEE
    • ACM
  • Honor & Awards
    • NSF CAREER Award (Trustworthy Hardware from Untrustworthy Components), 2011
    • Alfred P. Sloan Foundation Research Fellowship, 2013 - 2017
    • IEEE Micro “Top Picks in Computer Architecture”, 2017
    • IEEE Micro “Top Picks in Computer Architecture”, 2013
    • IEEE Micro “Top Picks in Computer Architecture”, 2004
    • Best Student Paper Award at ACM Computer Communications Security Conference, 2013
    • Best Poster Award at Hot Chips, 2015
    • Distinguished Paper Award at Intl. Conference on Program Comprehension, 2016
    • Best of CAL Paper Award for Short Paper on Hardware Support for Privacy, 2016
    • IBM Open Collaborative Research Faculty Award, 2014
    • Department of Computer Sciences at UT-Austin, Teaching Assistant Excellence Award, 2006
    • Department of Computer Sciences J.C. Browne Fellowship, 2005

Research Areas

  • Security and Privacy
  • Software Systems
  • Data Privacy
  • Networked and Distributed Systems
  • Operating Systems
  • Scalable Data Systems
  • Trustworthy Computing
  • Cybersecurity

Additional Information

  • Professional Experience
    • Associate Professor of Computer Science, Columbia University, 2016–present
    • Assistant Professor of Computer Science, Columbia University, 2011–2016
  • Honor & Awards
    • Alfred P. Sloan Faculty Fellowship, 2016
    • Early Career Award in Cybersecurity from the University of Washington Center of Academic Excellence, 2015
    • Microsoft Faculty Fellowship, 2014
    • Popular Science “Brilliant 10,” 2014
    • NSF CAREER Award, 2014
    • Elected member of DARPA’s Information Science and Technology (ISAT) study group, 2014-2017
    • Google Research Award, 2013
    • Honorable Mention for the inaugural SIGOPS Dennis M. Ritchie Dissertation Award, 2013
    • The William Chan Memorial Dissertation Award, 2011
    • Best Student Paper Award at the European Conference on Computer Systems, 2011
    • Best Student Paper Award at the 18th USENIX Security Symposium, 2009
    • Google PhD Fellowship in Cloud Computing, 2009–2011

Research Areas

  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Vision and Robotics
  • Artificial Intelligence
  • Generative AI & Large Language Models (LLMs)
  • Robotics and Autonomous Systems

Additional Information

  • Professional Experience
    • YM Associate Professor of Computer Science, 2023–present
    • Associate Professor of Computer Science, 2023
    • Assistant Professor of Computer Science, 2018–2022
    • Research Scientist, Google, 2017–2019
  • Honor & Awards
    • Early Career Development (CAREER) Award, National Science Foundation, 2021
  • Education
    • PhD, Computer Science and Electrical Engineering, Massachusetts Institute of Technology
    • MS, Computer Science and Electrical Engineering, Massachusetts Institute of Technology
    • BS, Computer Science, University of California at Irvine

Research Areas

  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Applied and Theoretical Machine Learning
  • Artificial Intelligence
  • Biomedical Informatics
  • Causal Inference
  • Economics & Computation
  • Game Theory
  • Generative AI & Large Language Models (LLMs)
  • Trustworthy Computing

Research Areas

  • Natural Language Processing and Speech
  • Data Management
  • Software Systems
  • Generative AI & Large Language Models (LLMs)
  • Information Retrieval & Web Search

Additional Information

  • Professional Experience
    • July 2013 - Present: Professor. Computer Science Department, Columbia University, New York City, New York
    • July 2002 - June 2013: Associate Professor. Computer Science Department, Columbia University, New York City, New York
    • September 1997 - June 2002: Assistant Professor. Computer Science Department, Columbia University, New York City, New York
    • September 2018 - June 2019: Visiting Faculty Researcher. Google Inc., New York City, New York (on sabbatical from Columbia University)
    • January - August 2001: Senior Research Scientist. Google Inc., Mountain View, California (on leave from Columbia University)
    • August 2000; July 2002: Consulting Researcher. Microsoft Research, Redmond, Washington
    • June - July 2000: Academic Consultant. Google Inc., Mountain View, California
    • July 2000: Consultant. Gigabeat Inc., Palo Alto, California
    • July - August 1999: Visiting Professor. Computer Science Department, University of Buenos Aires, Argentina
    • June - July 1999: Consulting Researcher. Microsoft Research, Redmond, Washington
    • 1992 - 1997: Research Assistant. Computer Science Department, Stanford University, Stanford, California
    • 1995 - 1996: Research Intern. Hewlett-Packard Laboratories, Palo Alto, California
    • 1995: Supplemental Research Associate. IBM Almaden Research Center, San Jose, California
    • July 1994: Instructor. Computer Science Department, University of Buenos Aires, Argentina
    • 1993 - 1994: Teaching Assistant. Computer Science Department, Stanford University, Stanford, California
    • 1990 - 1992: Resident Researcher. IBM Argentina, Buenos Aires, Argentina
    • 1990 - 1992: Student Visitor. IBM Almaden Research Center, San Jose, California
  • Professional Affiliations
    • Association for Computing Machinery
  • Honors & Awards
    • 2025 ACM SIGMOD "Test of Time" Award, for paper "k-Shape: Efficient and Accurate Clustering of Time Series," by John Paparrizos and Luis Gravano
    • "Distinguished Faculty Teaching Award," Columbia Engineering Alumni Association, Columbia University, 2012
    • "Distinguished Teacher Award," Computer Science Department, Columbia University, 2011
    • "Best Paper" Award, 2006 ACM SIGMOD International Conference on Management of Data (SIGMOD 2006), 2006
    • "Best Paper" Award, 21st IEEE International Conference on Data Engineering (ICDE 2005), 2005
    • "Best Student Paper" Award, 19th IEEE International Conference on Data Engineering (ICDE 2003), 2003
    • CAREER Award, National Science Foundation (NSF), 1998
    • "Most Original Paper" Award, International Conference on Parallel Processing (ICPP '92), 1992
  • Education
    • Ph.D., Computer Science, Stanford University
    • M.S., Computer Science, Stanford University
    • B.S., Computer Science ("Licenciatura en Informática"), Escuela Superior Latinoamericana de Informática (ESLAI), Argentina

Research Areas

  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Applied and Theoretical Machine Learning
  • Algorithms
  • Theoretical Computer Science

Additional Information

  • Professional Experience
    • Associate Professor of Computer Science, Columbia University, 2015—present
    • Visiting Scientist, Simons Institute for the Theory of Computing, University of California Berkeley, 2014—2015
    • Researcher, Microsoft Research Silicon Valley, 2010—2014
  • Professional Affiliations
    • ACM SIGACT
    • IEEE
  • Honors & Awards
    • Google Faculty Research Award
  • Education
    • PhD, Electrical Engineering and Computer Science, MIT
    • MEng, Electrical Engineering and Computer Science, MIT
    • BS, Electrical Engineering and Computer Science, MIT
    • BS, Mathematics, MIT

Research Areas

  • Applied and Theoretical Machine Learning
  • Algorithms & Complexity Theory

Additional Information

  • Honors & Awards
    • Machtey Award for Best Student Paper at FOCS 2019
    • Best Student Paper Award at CCC 2019
    • European Association of TCS Distinguished Dissertation Award, 2019
    • George M. Sprowls Award for outstanding PhD theses in Computer Science at MIT, 2019
  • Professional Experience
    • Associate Professor of Computer Science, 2026-
    • Assistant Professor of Computer Science, Columbia University, 2021-2025
    • Michael O. Rabin Postdoctoral Fellow, Harvard University School of Engineering and Applied Sciences, 2019-2021