Liqin Ye
I am a Machine Learning PhD candidate at Georgia Tech (ML@GT), advised by Dr. Chao Zhang and Dr. Sudheer Chava. Before Georgia Tech, I received my bachelor’s degree in Computer Science from UC Irvine, where I worked with Dr. Stephan Mandt on diffusion models for climate simulation.
My research focuses on LLM agents, LLM forecasting, and LLMs in finance. I am always happy to talk about research or collaboration. Drop me an email at liqiny at gatech dot edu if you would like to chat.
Focus on Yourself
I am looking for a research internship for Summer 2027. Feel free to reach out!
News
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Can RL elevate LLMs’ agentic forecasting capabilities? Our work, AlphaBet, explores how reinforcement learning improves evidence gathering and probabilistic forecasting over time.
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We built a time machine for AI forecasting agents, Forecast-Dojo. Agents can travel back in time, explore historical evidence, and forecast the future.
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LiveMacroEval is accepted to EMNLP 2026 as a Main Conference Oral! A live, contamination-resistant benchmark of hourly LLM nowcasts for 16 U.S. macro indicators.
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Honored to be selected as a recipient of the Workday AI PhD Fellowship! Many thanks to the Workday AI Research team for supporting my work.
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IPO-Mine is accepted to KDD 2026 Datasets & Benchmarks Track: an open toolkit and a 109k-filing, 76k-image dataset for section-structured analysis of long IPO documents.
Selected Publications
All publications
Experience
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Applied Scientist Intern, Amazon
Store Foundation AI, Rufus Post-training Team
Education
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Georgia Institute of Technology
- PhD in Machine Learning
- MS in Computer Science
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University of California, Irvine
- BS in Computer Science
Teaching
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Fall 2026
CS 7646 Machine Learning for Trading
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Spring 2026
CS 7641 Machine Learning
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Fall 2025
Fall 2024MGT 8803 AI in Finance
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Fall 2021
ICS 45C Programming in C/C++
Honors
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2026
Workday AI PhD Fellowship
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2023
ICS Honors Program
Service
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Reviewer
ICLR 2027 · NeurIPS 2026, 2024 · ARR 2027, 2026, 2024 · KDD 2025 · Computational Economics
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Volunteer
AI and Future of Finance Conference, Georgia Tech