Anmol Kabra
anmol (at) cs.cornell.edu • CV • google scholar • github • linkedin • twitter
I am a Computer Science PhD student at Cornell University, advised by Carla Gomes and Kilian Weinberger. I’m broadly interested in AI/ML for Science and Climate. On the algorithmic side of things, I study AI systems with reasoning capabilities, multimodal models, and distribution shifts.
Previously, I was a Research Engineer at ASAPP working on LLMs, privacy, and anomaly detection with Ethan Elenberg and Kilian Weinberger. I was also an AI/ML Quant intern at Bloomberg working on quantitative trading strategies and LLMs with the AI Engineering team.
I received my Bachelors in Science in Computer Science and Applied Math from Cornell University in Spring 2020 and was named a Merrill Presidential Scholar. I had the good fortune of doing ML research at the Computational Sustainability lab with Carla Gomes. During my undergraduate years, I was generously supported by the Tata Scholarship and Telluride Scholarship. Before returning to Cornell for my PhD, I studied ML for decision-making at Toyota Technological Institute at Chicago (TTIC) with Nati Srebro.
news
Oct 2024
- Paper released on arxiv: AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification with code on github.
Aug 2024
- Started PhD at Cornell Computer Science.
Jun 2024
- Paper accepted to ICML Workshop on Humans, Algorithmic Decision-Making and Society: The Limitations of Model Retraining in the Face of Performativity.
- Talk and poster at Foundations of Responsible Computing (FORC) 2024: Score Design for Multi-Criteria Incentivization.
- Joined Bloomberg LP as an AI/ML Quant Intern in New York City.
Apr 2024
- Paper accepted to Foundations of Responsible Computing (FORC) 2024: Score Design for Multi-Criteria Incentivization.
Feb 2024
- Talk at TTIC’s Annual Student Workshop: Surrogate score design to incentivize behavior in rating systems.
2023
- Paper accepted to Findings of EMNLP 2023: Domain Private Transformers for Multi-Domain Dialog Systems.
- Presented at IDEAL Institute’s Workshop on Machine Learning, Interpretability, and Logic: Reasonable modeling assumptions for real-world Principal-Agent games.
2022
- Received the Best Poster Award at TTIC’s Annual Student Workshop.
- Paper accepted to NeurIPS 2022 (Oral award): Exponential Family Model-Based Reinforcement Learning via Score Matching.
- Joined ASAPP as a Research Intern.
- Attended Deep Learning Theory Workshop and Summer School at the Simons Institute at Berkeley.
- Visited the Simons Institute at Berkeley for the summer cluster on Interpretable ML.
- Attended the ML Theory summer school at Princeton.
2021
- Started graduate studies at Toyota Technological Institute at Chicago (TTIC).
- Paper accepted to AAAI 2021: Characterizing the Loss Landscape in Non-Negative Matrix Factorization.
2020
- Joined ASAPP as a Research Engineer in Ithaca, NY.
- Graduated from Cornell!
- Recognized as a 2020 Merrill Presidential Scholar (top 1% of graduating class).
- Received the 2020 Computer Science Prize for Academic Excellence (highest undergraduate honor in the CS department).
2019
- Featured among 10 out of 200 young researchers at the 2019 Heidelberg Laureate Forum.
- Recognized for outstanding performance (top-10%) at 2019 ACM Summer School on HPC Architectures for AI and Dedicated Applications, Barcelona.
- Recognized as an Outstanding Teaching Assistant for CS 4850: Math Foundations of the Info Age.
- Paper accepted to ACM COMPASS 2019: GPU-accelerated Principal-Agent Game for Scalable Citizen Science.
- Best poster at 2019 Ivy League Undergraduate Research Symposium at University of Pennsylvania.
- 2 awards at Cornell CIS’s BOOM 2019 project symposium (Sponsor Award by Air Liquide and Statistics Award by Cornell’s Statistics Department).
- Joined ASAPP as a Research Engineer Intern.
selected papers
* equal contributions
on a less academic note, I like
(listed in increasing order of number of characters in each bullet)
- biking
- cooking
- running
- playing Table Tennis
- following Formula 1 and motorsports
- walking fast so that my legs heat up
- reading books, newspapers, and research papers — mostly high-fantasy and non-fiction these days