Bio

My primary research interests are theoretical machine learning and algorithmic economics. As of March 2026, I have completed my Ph.D. in CU Boulder’s Computer Science Department, under the advisement of Bo Waggoner and Rafael Frongillo.

Although starting my journey as a PhD student in a theory group, I previously worked in an applied role as an ML Engineer at Argonne National Laboratory within an Edge Computing group. Performed RD for a variety of ML tasks specialized for use over an edge network, such as model monitoring (out of distribution detection, outlier detection and active learning, interpretability), model optimization (quantization), and ML application development, mostly in the domains of audio and image processing.

During my Ph.D. from 2022 to 2025, I worked as a data scientist for the Federal Reserve Bank in Chicago. Within my role, I primarily developed models to identify potential risk factors in the banking sector and NLP solutions to assist with bank examinations. From May to December 2025, I took a leave of absence from my Ph.D. and worked full-time at Apple in an ML-driven material discovery role.