Me.

Recent Updates

Two papers accepted at ICML 2024:
(1) A Machine Learning Approach to Duality in Statistical Physics
(2) AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
May 1, 2025 Learn More
Accepted at the Cooperative AI Summer School! I will be visiting London from July 9th to July 13th.
April 7, 2025 Learn More
Paper 'Drums of High Width' accepted in the Proceedings of London Mathematical Society.
(work done at DeepMind)
Arxiv: 2503.09919
March 13, 2025 Learn More
Abstract accepted at IC2S2 conference:
'Empirical evidence of Large Language Model’s influence on human spoken communication'
(work led by Hiromu Yakura)
Arxiv: 2409.01754
April 18, 2024 Learn More

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:

  • Can we use deep learning to aid scientific discoveries?
    ICML 2025 — Our first attempt at discovering dualities in statistical physics
    Nature 2024 (FunSearch) — acknowledged for work on parallel experimentation in combinatorics
    LMS 2025 — discovered counterexample to Hirsch’s conjecture
  • How do cooperative norms emerge in multi-agent systems with competing incentives?
  • What impact are LLMs having on the way we speak, persuade, and justify our actions?
    Signals of Changing Linguistic Preferences — under review; more coming soon
  • How might LLMs be used to design effective nudges for climate action?
    → Early results in progress — project details coming soon

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.



Education

Sept 2017 - May 2023 PhD in Machine Learning
University of Oxford | Oxford, United Kingdom
The Alan Turing Institute | London, United Kingdom


Advisors: Pawan Kumar, Andrea Lodi, Yoshua Bengio

Sept 2013 - Feb 2015 Master of Science in Operations Research (3.96/4.00)
Columbia University | New York City, New York


Advisors: Garud Iyengar

Sept 2009 - Aug 2013 Bachelor of Technology
Indian Institute of Technology | New Delhi, India


Publications

For a complete list of my publications, please visit my Google Scholar profile.


Experience

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


Professional Activities

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


Honors & Awards

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)


Skills

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


Miscellaneous

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