I am a second year MS/PhD student at the College of Information and Computer Sciences at the University of Massachusetts Amherst. As part of the Knowledge Discovery Laboratory, I work with Prof. David Jensen. My current research interests lie in building and using causal models to explain deep networks. I am also interested in interdisciplinary applications of causal modeling, particularly security and computational social science.
My prior work (produced in my undergrad) have been oriented towards using data mining and machine learning techniques to understand real world issues in the fields of computational social science, information science, applied statistics and mathematics.
Prior to joining UMass, I was a software engineer at IBM where I worked on the IBM z/OS Mainframe. I completed my Bachelor of Science in Mathematics and Computer Science from the State University of New York at Albany.
I am currently interning at IBM Watson’s Science for Social Good Initiative.
- Presented Identifying When Effect Restoration Will Improve Estimates of Causal Effect at the SIAM International Conference on Data Mining 2019 in Calgary, Canada. (May 2019)
- Received an Honorable Mention for the NSF Graduate Research Fellowship Program. (April 2019)
- I will be joining IBM Watson’s Science for Social Good Initiative as a Research Intern this summer.
- Our paper titled “Identifying When Effect Restoration Will Improve Estimates of Causal Effect” got accepted at the SIAM International Conference on Data Mining 2019. (December 2018)
- Our workshop paper titled “Generalization in Deep Reinforcement Learning” got accepted in the Critiquing and Correcting Trends in Machine Learning Workshop at NeurIPS 2018. (December 2018)
- Got accepted to speak at IBM AI Systems Day 2018 on “Mocking Atari for Deep Reinforcement Learning”. (October 2018)
- Received the Lori A. Clarke Scholarship in Computer Science 2018 from CICS, UMass Amherst (June 2018)