I am a Ph.D. candidate (ABD) of Informatics at the college of Information Sciences and Technology (IST) at the Pennsylvania State University. I further hold a Ph.D. minor in Statistics and a Master of Science in Information Sciences and Technology from Penn State. I am advised by Dr. Vasant Honavar (IST) and Dr. Aleksandra Slavkovic (Statistics). Before joining Penn State, I received a Master's degree in artificial intelligence and a Bachelor's degree in computer software engineering.
I specialize in machine learning, data science, and artificial intelligence. During Ph.D., I have a focus on the following areas: (i) Causal inference in machine learning, (ii) Fairness and interpretation in machine learning, and (iii) Applying machine learning to health care. I am a member of the Artificial Intelligence Research Lab, a fellow at the Biomedical Big Data Training Program, and an AI Student Ambassador at Intel Co. You can find my CV here.
Media Coverage: My paper “Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality” made its way to the news at (non-exhaustive):
Paper reviewer: ICLR-21, NeurIPS-20, ICML-20, ACM CHIL-20 (Program Committee), NeurIPS-19, PLOS ONE, WMSCI-19.
Invited judge: Penn State official undergraduate poster exhibition (2018).