Bio
I am a Postdoctoral Research Fellow at Mayo Clinic. I received my Ph.D.in Statistics at the Department of Statistics and Data Science at Cornell University under Professor David S. Matteson.
My research focuses on Bayesian time-series analysis, uncertainty quantification, and probabilistic forecasting. I also work on interdisciplinary data science problems, with applications in areas including education, precision agriculture and AI measurement.
Recent Updates
- Differential Item Functioning as an Item-Level Diagnostic for LLM Benchmarks (NeurIPS 2026)
- Improving Conditional Coverage in Time-Series Foundation Models via Direct Volatility Modeling (ICLR 2026 Workshop on Time Series in the Age of Large Models (TSALM))
- Adaptive Stochastic Volatility (ASV) (Journal of Business & Economic Statistics)
- BASTION (AISTATS 2026)
Education
Cornell University | Ithaca, NY
- Ph.D. in Statistics and Data Science | Aug 2026
- M.S in Animal Science | Aug 2021
- B.A. in Statistics and Data Science | May 2018