Hi there, I'm a postdoctoral researcher at Argonne National Lab, working on real-time situational awareness with Transformers. My PhD focused on data-driven and robust uncertainty quantification. I am particularly interested in exploring the vast potential of interpretable combined with the robust estimation theory. My ultimate goal is to in making data-driven methods trustworthy for diverse applications, from power systems steady state and dynamic state estimation to astrophysics, in order to advance our understanding of complex systems and improve uncertainty cognizant decision-making.

News

1. July 2024: Paper on quantifying the impact of measurement uncertainty on DMD got accepted at CDC 2024.
2. Nov 2023: Paper accepted at ISGT NA 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.