I am a Ph.D. student at the University of Oxford, supervised by Prof. M. Pawan Kumar and co-supervised by Prof. Andrea Lodi and Prof. Yoshua Bengio. My Ph.D. is fully sponsored by The Alan Turing Institute. I have also been fortunate enough to work for a year and a half as a visiting researcher at Montréal Institute of Learning Algorithms (Mila), Montréal, Canada.

My primary research focuses on improving combinatorial optimization using deep learning (e.g., automated heuristics in discrete solvers) or improving deep learning reasoning using optimization layers.

I am also excited about using technology or AI for societally impactful problems. As a result, at the beginning of the pandemic, I, along with several other researchers in various disciplines, took a detour to improve contact tracing applications. Along with defining a peer-to-peer protocol, COVI, necessary to improve decision making in contact tracing applications, we were able to determine a suitable framework to infuse rule-based or machine learning-based decision making in such applications.

Before my Ph.D., I took a broad array of Operations Research courses at Columbia University. I also learned about industrial, manufacturing, and mechanical engineering in my undergraduate courses at IIT Delhi.


Sept. 2017 - Present D.Phil in Engineering Science
University of Oxford | Oxford, United Kingdom
The Alan Turing Institute | London, United Kingdom

Advisors: M. Pawan Kumar; Co-Advisors: Andrea Lodi, Yoshua Bengio

Sept. 2013 - Feb. 2015 M.S. in Operations Research (3.96/4.00)
Columbia University | New York City, New York

Advisors: Garud Iyengar

Sept. 2009 - Aug. 2013 B.Tech. in Production and Industrial Engineering (8.69/10.00)
Indian Institute of Technology | New Delhi, India

Advisors: Nomesh Bolia


June 2018 - Oct. 2020 Research Intern | MILA | Montréal, Canada
June 2015 - Sept. 2017 Data Scientist | GenesisMedia LLC | New York City, U.S
Feb. 2015 - June 2015 Data Scientist | American Express | New York City, U.S
May 2014 - Aug. 2014 R&D Data Scientist Intern | The New York Times | New York City, U.S
Jan. 2014 - May 2014 Machine Learning Intern | Wiser | New York City, U.S (Part-time)
May 2012 - Aug. 2012 Research Intern | Innovation Labs, Tata Consultancy Services | Pune, India

Honors & Awards

2017 - 2022 The Alan Turing Institute Doctoral Scholarship
2009 - 2013 Undergraduate scholarships/awards

Roll of Honor, Director’s Merit Award, Color, Blazer, Significant Contribution (Sports)


Languages / Tools C/C++, Python, R, Javascript, vim, git, tmux, bash
Frameworks NumPy, Pandas, PyTorch, SciPy, TensorFlow, SimPy, D3, jQuery, Flask


Non-Formal Education (2020-2021) Scientific Entrepreneurship, University of Oxford, U.K (based on Harvard Business Cases)
(2018) Microsoft Research AI Summer School, Cambridge, U.K (acceptance with funding)
(2018) Human-aligned AI Summer School, Prague, Czech Republic (acceptance with funding)
Competitions (2019) Winner, HKBU Entrepreneurship Pitching Competition, Hong Kong

(AI enabled retrospective synthesis for drugs)

(2015) Winner, Cornell Tech Hackathon, New York City, U.S

(Estimating solar potential using satellite images)

(2012) 3rd place, CanSat Competition , Texas, U.S

(Design of can-sized satellites to accomplish mission while descending)

AI Mentorship Gepeto Interactive, Aerix
Sports Rowing , Table Tennis, Crossfit, Gymnastics, Olympic Lifting


Google Scholar


Predicting Infectiousness for Proactive Contact Tracing
Y Bengio, P. Gupta, T. Maharaj, N. Rahaman, M. Weiss, T. Deleu, E. Muller, M. Qu, V. Schmidt, P. St-Charles et. al.
ICLR 2021
[abs] [pdf] [arXiv] [code] [blog] [website] [bibtex]


  • Hybrid Models for Learning to Branch
    P. Gupta, M. Gasse, E. Khalil, M. Kumar, A. Lodi, and Y. Bengio
    NeurIPS 2020
    [abs] [pdf] [arXiv] [code] [bibtex]
    COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing
    P. Gupta, T. Maharaj, M. Weiss, N. Rahaman, H. Alsdurf, A. Sharma, N. Minoyan, S. Harnois-Leblanc, V. Schmidt, P. Charles et. al.
    [abs] [pdf] [arXiv] [code] [blog] [website] [bibtex]
    COVI White Paper
    H Alsdurf, Y. Bengio, T. Deleu, P. Gupta, D. Ippolito, R. Janda, M. Jarvie, T. Kolody, S. Krastev, T. Maharaj et. al.
    [abs] [pdf] [arXiv] [blog] [website] [bibtex]
    Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
    K Roth, T. Milbich, S. Sinha, P. Gupta, B. Ommer, and J. Cohen
    NeurIPS 2020
    [abs] [pdf] [arXiv] [code] [bibtex]


    Robust Design of Gears With Material and Load Uncertainties
    B Gautham, P. Gupta, N. Kulkarni, J. Panchal, J. Allen, and F. Mistree
    39th Design Automation Conference, ASME 2013 2013
    [abs] [pdf] [doi] [bibtex]