I am a recent PhD graduate of the School of Computer Science at Carnegie Mellon University. I am was part of the Auton Lab and advised by Prof. Artur Dubrawski.
I am interested in challenges of applying Data Science and Machine Learning in health, especially around censored time-to-event outcomes and counterfactuals.
I have previously worked with Prof. Katherine Heller at Google's Brain and Responsible AI Teams.
During my PhD, I have worked as a Summer Associate in Prof. Manuela Veloso's new AI Research Team within the Corporate and Investment Banking division of J.P. Morgan. I also spent a summer working with Kush R. Varshney and others at IBM Research's Thomas J. Watson Research Centre as a Science for Social Good Fellow.
I try to be a good citizen of the School of Computer Science by serving on the Dean's PhD Students Advisory Committee and co-chairing the SCS Dec/5.
2023 | AAAI Fall Symposium - Survival Prediction - Algorithms, Challenges and Applications |
2024 | Machine Learning for Healthcare Conference (MLHC) |
2020 | NeurIPS Machine Learning for Health Workshop (ML4H) |
2020 | Neural Information Processing Systems (NeuRIPS) |
2020 | ACL Student Research Workshop (ACL-SRW) |
2020 | Machine Learning for Healthcare Conference (MLHC) |
2020 | ICLR ML in Real-Life Workshop (ML-IRL) |
2020 | ACM Conference on Health, Inference and Learning (CHIL) |
2019 | NeurIPS Machine Learning for Health Workshop (ML4H) |
I'm a dormant member of the W3VC, the Carnegie Tech Radio Club; In my past life, I used to make (hack?) stuff.
I enjoy Equitation, playing the Guitar, and Trivia and Quiz contests.
Here's a [list] of all the places I lived in before coming to Pittsburgh.