Assistant Professor, Department of Mathematical Sciences, University of Indianapolis
I am an Assistant Professor leading the undergraduate Data Science program at the University of Indianapolis. I received my Ph.D. in Machine Learning and Optimization from the Applied Mathematical and Computational Sciences graduate program at the University of Iowa in 2020.
My research interests are broadly in
Machine Learning and applications, Interpretability
Analytics with an emphasis on data-driven decision making
Optimization and Learning Theory
June 2021: Optimization paper accepted at the Journal of Machine Learning
Mar. 2021: Optimization paper accepted at the journal Optimization Methods and Software
Aug. 2020: Starting as an Assistant Professor at the University of Indianapolis.
July 2020: Successfully defended my dissertation.
June 2020: Paper titled " Promoting Transparency with Model-Agnostic Linear Competitors" accepted at the International Conference on Machine Learning (ICML) 2020.
Jan. 2020: Presented the interpretable machine learning work at Joint Mathematical Meetings 2020.
Nov. 2019: Awarded Travel Grant for Joint Mathematical Meetings 2020 at Denver, Colorado.
Oct. 2019: Received the Best Paper Award Runner-up at 2019 INFORMS Third Data Science Workshop.
Sep. 2019: Nominated for Best paper award at 2019 INFORMS Third Data Science Workshop.
Aug. 2019: Accepted to give an oral presentation at 2019 INFORMS Third Data Science Workshop.
Aug. 2019: Invited to present at INFORMS Annual Meeting 2019.
Aug. 2019: Attended summer graduate school Mathematics of Machine Learning organized by MSRI, Microsoft, and University of Washington in Seattle.