Hi! I’m currently a Postdoctoral Researcher at the Max Planck Institute’s Center for Humans and Machines, working with Iyad Rahwan. My research centers on the co-evolution of humans and intelligent machines. I am also deeply engaged in exploring fundamental deep learning methodologies and contributing to projects that leverage AI for scientific discoveries.
I completed my Ph.D on deep learning methods for exact combinatorial optimization at the University of Oxford, sponsored by The Alan Turing Institute, and guided by the amazing researchers Pawan Kumar, Andrea Lodi, and Yoshua Bengio. During my Ph.D., I was also affiliated with the Montréal Institute of Learning Algorithms (Mila), where I spent considerable time of my doctorate studies.
Beyond my research, I’m passionate about creating educational resources in machine learning (check them out here), engaging in collaborative research projects, and maintaining an active lifestyle through diverse sports including table tennis, swimming, gymnastics, and rowing. I also enjoy reading books across various genres to broaden my perspectives.
I have a background in Operations Research, Industrial Engineering, and Mechanical Engineering through my undergraduate and master’s studies.
I’m always eager to engage in discussions about AI, machine learning, optimization, or any other research interests. Feel free to reach out via email or connect with me on social media to start a conversation.
| Sept. 2017 - May 2023 |
PhD in Machine Learning
University of Oxford | Oxford, United Kingdom The Alan Turing Institute | London, United Kingdom
|
| Sept. 2013 - Feb. 2015 |
M.S. in Operations Research
(3.96/4.00)
Columbia University | New York City, New York
|
| Sept. 2009 - Aug. 2013 |
B.Tech. in Production and Industrial Engineering
(8.69/10.00)
Indian Institute of Technology | New Delhi, India
|
For a complete list of my publications, please visit my Google Scholar profile.
| Feb. 2024 - Present | Postdoctoral Researcher | Max Planck Institute | Berlin, Germany |
| July 2022 - Nov. 2022 | Research Scientist Intern | DeepMind | London, U.K |
| June 2018 - Oct. 2020 | Visiting Researcher | 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 |
| Events |
ICML AI for Agent-based Modelling Workshop, Co-Organizer, 2022 AI for Global Climate Cooperation Challenge, Co-organizer, 2022 |
| Teaching |
Faculty @ CambridgeSpark (part-time: April '21 - Present), Teaching Assistant @ Oxford Internet Institute (Jan '22- Mar '22, course material) |
| Reviewer | NeurIPS 2021, AI4ABM@ICML Workshop 2022, ICLR 2022, ICML 2023, ICLR 2024 |
| Others |
Strategy Consultant @ Careers Service, University of Oxford (Mar '21 - Jun '21) Co-Convenor / Technology & Data Operations @ COVIRest (Mar '21 - May '21) (A free hotline to connect volunteer global doctors to patients in India looking for COVID diagnosis) |
| 2017 - 2022 |
The Alan Turing Institute Doctoral Scholarship 3rd place, UK-wide 10th Doctoral Researcher Awards 2021 (5 min thesis presentation) |
| 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 | PyTorch, TensorFlow, Jax, NumPy, Pandas, SciPy, Langchain, Flask, D3, jQuery, SimPy |
| 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) |
| Sports | Rowing , Table Tennis, Crossfit, Gymnastics, Olympic Lifting |
Prateek Gupta