Nicole Ma

Hi! I'm an undergrad at Stanford studying CS. I'm generally interested in mech interp, reasoning, and systems. I've worked on distillation and hardware-aware ML @ SAIL, spatial reasoning and physical optimization @ Topological, and geophysical modeling @ NASA. I'll be working on Gen AI software and GPU environments @ NVIDIA this summer.

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Research

planning Where's the Plan? Locating Latent Planning in Language Models with Lightweight Mechanistic Interventions
Nicole H. Ma*, Nick Rui*
ICML CompLearn and FoGen Workshops, 2026
paper
remasking Optimizing Remasking Schedules for Reasoning in Discrete Diffusion Models
Radostin Cholakov*, Zeyneb N. Kaya*, Nicole H. Ma*
ICLR ReALM-GEN and NFAM Workshops, 2026
paper
offshore-wind Ensemble Learning Approaches for Bias Correction in Offshore Wind Resource Assessment
Nicole H. Ma, Brian Colle
AMS Annual Meeting, 2024
jet-stream Multidirectional Stochastic Modeling of the North Atlantic Jet Stream
Nicole H. Ma
NJSHS, 2023

* Equal contribution

Awards

1st Place ($40k) @ Mercor x Cognition x Etched Hackathon

Most Impressive Technical Feat @ Pear VC x Anthropic Hackathon

1st Place Scrapybara Award ($16k) @ Treehacks

Hackathon awards: 1st Place @ Google igniteCS Programming Expo, 1st Place @ GameGala, Best Web App @ HackTable, Best AR/VR App @ LightHouse Hacks, Honorable Mention @ HackVH, One Percenter Award @ Project Euler

Science fair awards: Finalist in Math/CS @ NJSHS, 1st Place @ JSHS, 3rd Place @ CSEF, 1st Place @ OCSEF, Association of Women in Water, Energy, and Environment Award, NASA Earth System Science Award, the Energy Coalition First Place Award


Design and source code from Jon Barron's website.