I am a fourth year PhD student in the Johns Hopkins Computer Science Department, advised by Ilya Shpitser. I work on developing observational causal inference and machine learning methods for handling network dependence in data and personalizing treatment decisions. I am interested in translational work in health, public policy, and resource allocation settings.
I am affiliated with the Malone Center for Engineering in Healthcare and the Mathematical Institute for Data Science (MINDS). I am a Google PhD Fellow. I am also the recipient of a TRIPODS PhD Fellowship. I earned an MSE in Computer Science from Hopkins in 2019 and I graduated from the University of Michigan in 2017 with a B.S. in Computer Science with Honors.
Computer Science Conference Papers
Eli Sherman, David Arbour, and Ilya Shpitser (2020). "General Identification of Dynamic Treatment Regimes Under Interference" 23rd Annual Conference on Artificial Intelligence and Statistics (AIStats).
Paper and Supplement
Eli Sherman and Ilya Shpitser (2018). "Identification and Estimation of Causal Effects from Dependent Data." Proceedings of the 32nd Annual Conference on Advances in Neural Information Processing Systems (NeurIPS) Spotlight Presentation.
PDF Supplement Talk
Ilya Shiptser and Eli Sherman (2018). "Identification of personalized effects associated with causal pathways." Proceedings of the 34th Annual Conference on Uncertainty in Artificial Intelligence (UAI) Plenary Presentation.
PDF Supplement Talk
Eli Sherman, et al. (2017) "Leveraging Clinical Time-Series Data for Prediction: A Cautionary Tale." AMIA Annual Symposium Proceedings Best Student Paper Award Winner KDD Subgroup Oral Presentation.
Medical Conference Abstracts
Lindsey Sloan, et al. (2019). "Multi-time point evaluation of peripheral blood myeloid-derived suppressor cell and lymphocyte populations in patients with newly diagnosed glioblastoma receiving adjuvant therapy". Society of Neuro-Oncology Annual Meeting.
TeachingJohns Hopkins University
- Fall 2019: Teaching Assistant CS 677 Causal Inference
- Spring 2018: Teaching Assistant CS 295 Developing Health IT Applications
- Winter 2017: Instructional Aide EECS 445 Introduction to Machine Learning
- Winter 2014: Course Tutor EECS 183 Elementary Programming
MiscellaneousI am an avid fan (perhaps unhealthily so!) of classical music. I have played cello since I was 8 (violin before that, and a foray into double bass in the middle). See a some recent performances with the Homewood Chamber Seminar below. Additionally, I am an occassional hiker, climber, tennis player, and golfer. In undergrad a was a play-by-play announcer and studio host for WCBN Sports, calling games for a variety of University of Michigan varsity sports.
Email: [first initial] + [last name] + [at symbol] + jhu + [dot] + edu