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Understand LLMs better
We study language models from the inside out.
🦁Columbia💙
Quant LLM Club
A home for students who want to understand large language models deeply, explore rigorous AI × Quant research, and grow into the next generation of quantitative researchers, LLM engineers, and AI scientists. Currently unofficial.
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What We Do
LLMs. Quant. Research.
Designed as a guided entry point into modern AI research and quantitative problem solving. Quant-oriented, research-driven, and engineering /startup fuelled up.
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Build research readiness
Members get structured exposure before stepping into formal academic research.
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Prepare for selective recruiting
Support students targeting quantitative research, LLM engineering, and AI scientist role.
Mission
next AI × Quant talents at ColumbiaHow We Grow
From curiosity to publishable taste.
Our programming is built around a simple pipeline: learn the field, reproduce important work, design original projects, and become ready to collaborate with researchers and builders.
Reading groups
Weekly discussion around LLM fundamentals, AI safety and evaluation, market microstructure, statistical learning, and the emerging interface between language models and finance.
Research sprints
Short, guided projects that teach members how to turn a paper into a working implementation, a clean experiment, and a research question worth asking.
Engineering labs
Hands-on work around agents, data pipelines, evaluation harnesses, retrieval systems, and model-based tools for quantitative workflows.
Recruiting preparation
Peer-led preparation for quant research interviews, ML systems interviews, LLM engineering screens, research portfolio building, and technical communication.