PST
Valmik Nahata
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I'm Valmik Nahata, an undergraduate at UC San Diego. Since last year, I've been working on building AI systems focused on scaling, robustness (adversarial training, safety checks, etc.), and ethical considerations (bias mitigation, transparency, etc.), with the goal of accelerating scientific discovery. Most of my research involves large language models, multimodal AI, and autonomous agents, with an interest in reasoning (chain-of-thought, tree search, etc.), alignment (RLHF, debate, etc.), and inference efficiency (quantization, etc.).

I grew up in Jersey and now live in California, but I'll always be a New Yorker at heart. When I'm not working on AI, you'll find me speedsolving Rubik's cubes (everything from 2x2 through 7x7, plus pyraminx, megaminx, and mirror cubes). I also spent years playing violin, working through Paganini's Caprices and Bach's Partitas, though my favorite piece will always be Mendelssohn's Violin Concerto in E Minor. And for reasons unknown to me, I've developed a thing for collecting old coins, anything from the 1800s and prior.

I'm also inspired by the work of Richard Feynman, Christopher Paolini, Dan Brown, and J.R.R. Tolkien. I've always related to Bilbo Baggins’ poem in The Fellowship of the Ring:

"All that is gold does not glitter,
Not all those who wander are lost;
The old that is strong does not wither,
Deep roots are not reached by the frost.
From the ashes a fire shall be woken,
A light from the shadows shall spring;
Renewed shall be blade that was broken,
The crownless again shall be king."
Research is much the same: progress stays hidden before it's valued, perhaps.




Anyway, here's the more formal side:
Education
Undergraduate Student | University of California, San Diego
└─> Data Science at Halıcıoğlu Data Science Institute (Ranked #8 on U.S. News)└─> Vice President of Research at the AI Student Collective at UC San Diego
2024—Present
Occupations
Member | MIT AI Alignment (MAIA)
2026—Present
Undergraduate Researcher | Harvard Medical School & Massachusetts General Hospital
└─> Advised by Dr. ___ _________ on LLMs for Clinical Use
2025—Present
Research Intern | Dartmouth Hitchcock Medical Center
└─> Advised by Dr. Joshua Levy on RAG for Pathology Reports
2024—2025
Accolades
1st Place | National Science Foundation HDR & UC San Diego SMASH's ML Hackathon
└─> Coastal Flooding Prediction Models
2026
1st Place | Apart Research & BlueDot Impact's Economics of Transformative AI Sprint
2025
3rd Place | Milwaukee Bucks & Modine Manufacturing's Hackathon
2025
Various | The College of New Jersey, Kean University, etc.
2022—2025
Research (publications, manuscripts, & posters)
Upcoming | Chain-of-Thought Reasoning in Large Language Models for Clinical Applications
2025—Present
Manuscript & Poster | Retrieval Augmented Generation for Pathology Reports
└─> Directed by Dr. Joshua Levy at Dartmouth Hitchcock Medical Center
2024
Publication | A Statistical Analysis of Crab Pulsar Giant Pulse Rates
└─> Directed by Graham Doskoch at Department of Physics and Astronomy, West Virginia University
2024
Publication | Cover Edge-Based Triangle Counting
└─> Directed by Dr. David Bader at Department of Data Science, New Jersey Institute of Technology
2024
Projects (Independent & collaborative)
Democratizing Research | Labry
2025—Present
Autonomous Financial Compliance Engine | ALPINE
└─> LPL Financial's University Hackathon Presentation
2026
WorldGuessr Cheats | GeoCheater
2026
3D Carbon Simulation | CarbonTime
2025
American Sign Language Conversationalist | Signly
2025
Industry Language Model Benchmarking | Georgia Tech's DuckAI
2025
Departed Relatives Conversationalist | Blume
2025
Point of Sale QR Automation | Kaboo
2024
Trading Automations | Steam's TF2 & CS:GO
2023
Financial Data Pipeline | Tree-Plenish
2023
Live Location