Computer Science

Why Earn Your EngScD in Computer Science at Columbia?


Columbia gives you a rigorous Ivy League education in the heart of a vibrant global city for unmatched opportunities and impact.

As a student, you’ll benefit from:

  • New York City
    Join top talent in one of the world’s most exciting and influential cities. Students choose Columbia Engineering over MIT, Berkeley, and others because of the New York City ecosystem of research and enterprise that can’t be found anywhere else. 
     
  • Broad Research Opportunities
    Access opportunities across an incredible array of laboratories, centers, and groups including the Data Science Institute, Center of Artificial Intelligence Technology, and the Theory of Computing Group.
     
  • World-Class Faculty
    Faculty are accomplished scholars and passionate instructors engaged in cutting-edge, cross-disciplinary research in areas like augmented reality, high throughput genomics, natural language processing, and machine learning.
     
  • Columbia University
    With a PhD from Columbia, you’ll join one of the world’s most international, accomplished networks of researchers and alumni. Your Ivy League credential will open doors wherever you go and the relationships you build here will accelerate your career. 

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Why Earn Your MS/PhD in Computer Science at Columbia?


Columbia gives you a rigorous Ivy League education in the heart of a vibrant global city for unmatched opportunities and impact.

As a student, you’ll benefit from:

  • New York City
    Join top talent in one of the world’s most exciting and influential cities. Students choose Columbia Engineering over MIT, Berkeley, and others because of the New York City ecosystem of research and enterprise that can’t be found anywhere else. 
     
  • Broad Research Opportunities
    Access opportunities across an incredible array of laboratories, centers, and groups including the Data Science Institute, Center of Artificial Intelligence Technology, and the Theory of Computing Group.
     
  • World-Class Faculty
    Faculty are accomplished scholars and passionate instructors engaged in cutting-edge, cross-disciplinary research in areas like augmented reality, high throughput genomics, natural language processing, and machine learning.
     
  • Columbia University
    With a PhD from Columbia, you’ll join one of the world’s most international, accomplished networks of researchers and alumni. Your Ivy League credential will open doors wherever you go and the relationships you build here will accelerate your career. 

See Full Program Details

Additional Information


  • Honors & Awards
    • VMware Early Career Faculty Award, 2020.
    • EAPLS (European Association of Programming Languages and Systems) FASE best paper award, 2020.
    • IBM Faculty Award, 2019.
    • NSF CAREER Award, 2019.
    • ACM  Distinguished Paper Award, FSE 2017.
    • ACM Distinguished Paper Award, MSR 2017.
    • Best Student Paper Award, S&P (Oakland) 2014.
  • Professional Experience
    • Assistant Professor, Columbia University, 2024-present
    • Assistant Professor, UIUC, 2023-2024
    • Postdoctoral Scholar, Stanford University, 2022-2023
  • Honors & Awards
    • AAAI New Faculty Highlights, 2025
    • Amazon Research Award, Fall 2024 Teachers Ranked as Excellent at UIUC, Spring 2024
    • Best Conference Paper Award, International Conference on Robotics and Automation (ICRA) 2024
    • Sony Faculty Innovation Award, 2023
    • Best Systems Paper Award, Conference on Robot Learning (CoRL) 2023
    • Finalist, Best Paper/Best Student Paper Awards, Conference on Robot Learning (CoRL) 2023
    • First Place Recipient, Ernst A. Guillemin Master's Thesis Award in Artificial Intelligence and Decision Making at MIT, 2021
  • Education
    • PhD, EECS, MIT
    • MS, EECS, MIT
    • BS, CS, Peking University

Research Areas


  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Vision and Robotics
  • Applied and Theoretical Machine Learning
  • Robotics and Autonomous Systems

Additional Information


  • Professional Experience
    • Senior Lecturer in Computer Science, Columbia University, 2025-
    • Lecturer in the Discipline of Computer Science, Columbia University, 2018-
  • Education
    • PhD, Robotics, Carnegie Mellon University
    • MS, Robotics, Carnegie Mellon University
    • BS, Electrical Engineering and Computer Science, University of California, Berkeley