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Grace (Eun) Go Hi! I'm Eun Go, but feel free to call me Grace. I'm a Ph.D. student in Computer Science at the University of Illinois Urbana-Champaign (UIUC), advised by Professor Arindam Banerjee. My research is supported by the Amazon AI PhD Fellowship. I previously earned my M.S. in Computer Science and B.S. in Computer Science and Statistics from UIUC, graduating with highest distinction as a Bronze Tablet Scholar, an honor awarded to the top 3% of the graduating class. My research focuses on reinforcement learning, with applications to forecasting and sequential decision-making in finance. My recent work studies how RL trading agents can plan and adapt at inference time. |
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News
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ResearchI'm interested in reinforcement learning and its applications to real-world decision-making problems, particularly in finance and forecasting, where data is noisy and stakes are high. |
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Plan Before You Trade: Inference-Time Optimization for RL Trading Agents
Eun Go, Rohan Deb, Arindam Banerjee Under review, 2026 arXiv We introduce FinPILOT, a plug-in framework that helps pre-trained RL trading agents use price forecasts at deployment to improve returns and risk-adjusted performance, without retraining. |
Education |
University of Illinois Urbana-Champaign Ph.D. in Computer Science | 2025 – Present Advisor: Prof. Arindam Banerjee University of Illinois Urbana-Champaign M.S. in Computer Science | 2023 – 2025 Advisor: Prof. Arindam Banerjee University of Illinois Urbana-Champaign B.S. in Computer Science and Statistics | 2020 – 2023 GPA: 4.0 / 4.0 · Bronze Tablet Scholar |
Experience |
Amazon, Bellevue, WA Applied Scientist Intern, May – August 2026 Samsung Research, Seoul R&D Campus, South Korea Machine Learning Research Intern, June – August 2024 University of Illinois Urbana-Champaign Undergraduate Research Scholar, January – May 2023 NH Investment & Securities, Seoul, South Korea Big Data Analyst & Software Engineering Intern, June – July 2022 |
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Website template borrowed from Jon Barron. |