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 that are both powerful and aligned, particularly around 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, particularly around reasoning (chain-of-thought, tree search, etc.), alignment (RLHF, debate, etc.), and making inference more efficient (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 whatever reason, 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
2024—Present
Occupations
Undergraduate Researcher | Harvard Medical School & Massachusetts General Hospital
2025—Present
Research Intern | Dartmouth Hitchcock Medical Center
2024—2025
Accolades
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
2024
Projects (Independent & collaborative)
Democratizing Research | Labry
2025—Present
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