Mike Gee
I’m a first-year master’s student at Yale University, where I work with Prof. Rex Ying on Time Series Foundation Models (TSFMs) and multimodal time series analysis. Currently, my research investigates the relationship between pre-training data and downstream performance in TSFMs and how we can produce more accurate forecasts by leveraging information from other modalities like text and images. Previously, I received my BS in Computer Science from USC, where I worked with Prof. Yan Liu on TSFMs and Prof. Swabha Swayamdipta in collaboration with Prof. Yixin Wang (University of Michigan) on evaluating LLMs.
Here is my CV.
News
May 2026: I will be joining Yale University for my masters to work on TSFMs and multimodal time series analysis with Rex Ying
Dec 2025: TSOrchestra, an agentic zero-shot forecasting framework I created with Defu Cao, achieved 1st place on Salesforce’s GIFT-Eval Time Series Forecasting Leaderboard
