Hi! I’m a Postdoctoral Researcher at the Max Planck Institute’s Center for Humans and Machines. I’m fascinated by the potential of AI to deepen our understanding of science and society. More recently, I have been diving deeper into LLM-centric research.
Here are some of the questions I’m currently exploring:
I completed my Ph.D. at the University of Oxford, where I developed deep learning approaches for exact combinatorial optimization. My doctoral work was supported by The Alan Turing Institute and advised by Pawan Kumar, Andrea Lodi, and Yoshua Bengio. I was also affiliated with Mila in Montréal.
Outside research, I create open-access educational content in machine learning (see here) and enjoy collaborative, cross-disciplinary work. I stay active through table tennis, swimming, gymnastics, and rowing — and I’m always curious about new ideas through books, stories, and conversations.
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 |
Master of Science in Operations Research
(3.96/4.00)
Columbia University | New York City, New York
|
Sept 2009 - Aug 2013 |
Bachelor of Technology
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 - Mar '23), Teaching Assistant @ Oxford Internet Institute (Jan '22- Mar '22, course material) |
Reviewer | NeurIPS 2021, AI4ABM@ICML Workshop 2022, ICLR 2022, ICML 2023, ICLR 2024 |
2017 - 2022 |
The Alan Turing Institute Doctoral Scholarship 3rd place, UK-wide 10th Doctoral Researcher Awards, 2021 |
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 |