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Nicole Ma Hi! I'm an undergrad at Stanford studying CS (AI & Systems). I'm generally interested in mech interp, efficient reasoning and inference, and local AI. I've worked on DGX Spark clustering, distributed speculative decoding, and model routing @ NVIDIA, reasoning efficiency and hardware-aware ML @ SAIL, spatial reasoning and physical optimization @ Topological, and geophysical modeling @ NASA. |
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Research |
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Where's the Plan? Locating Latent Planning in Language Models with Lightweight Mechanistic Interventions
Nicole H. Ma*, Nick Rui* ICML Mechanistic Interpretability Workshop, 2026 paper |
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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 |
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Ensemble Learning Approaches for Bias Correction in Offshore Wind Resource Assessment
Nicole H. Ma, Brian Colle AMS Annual Meeting, 2024 |
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Multidirectional Stochastic Modeling of the North Atlantic Jet Stream
Nicole H. Ma NJSHS, 2023 |
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* Equal contribution |
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I am separately interested in Middle Eastern and North African history. |
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French Colonial Transformation of the Casbah of Algiers
Nicole H. Ma, Morgan Tufan Working paper, 2026 paper |
Awards1st 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 |
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Design and source code from Jon Barron's website. |