I’m a postdoctoral researcher at Argonne National Laboratory, developing time-series Transformers for real-time situational awareness. My PhD work created data-driven methods for robust uncertainty quantification.

News

1. June 2025: Robust Gaussian processes with Huber likelihood and projection pursuit accepted at ECML 2025.
2. July 2024: Paper on quantifying the impact of measurement uncertainty on DMD accepted at CDC 2024.
3. Oct 2023: Gave a talk on "Data-driven Time-series Uncertainty Quantification Models" at UT Austin.
4. May 2023: Started internship at NREL: Quantifying measurement uncertanty in Koopman operator.
5. March 2023: Conference paper selected for best paper session at the IEEE PES GM 2023.
6. Jan 2023: Journal paper accepted at the IEEE transactions on Power Systems.