CV
Education
- M.S./Ph.D. in Operations Research, Columbia University in the City of New York, 2020-Present
- B.S. (with High Honors) in Computational Mathematics, Michigan State University Honors College, 2016-2020
- B.S. (with High Honors) in Statistics, Michigan State University Honors College, 2016-2020
Interests
Economics and computation, approximation algorithms, multiagent systems, applied machine learning, ethical artificial intelligence
Work experience
- Sept 2020- Present: Research Assistant
- Columbia University
- Supervisor: Prof. Christian Kroer
- Nov 2018 - June 2020: Research Assistant
- Michigan State University
- Supervisor: Prof. Erik Goodman
- Deliverable: a Python-Mathematica software package to debug & interactively display rocket burns for a multi-objective optimization problem.
- Summer 2019: Research Assistant
- University of Maryland
- Supervisor: Prof. John Dickerson
- Deliverable: “Can an Algorithm Be My Healthcare Proxy?”; see publications
- Summer 2018: Research Assistant
- University of California, Los Angeles
- Supervisor: Prof. Deanna Needell
- Deliverable: “Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling”; see publications.
- Summer 2017: Data Science Intern
- Trove Predictive Data Science in Buffalo, New York
- Supervisor: Dr. Adam Stotz
- Deliverable: A Bayesian estimation algorithm for data imputation and aggregation to improve the accuracy and reliability of Trove’s datasets.
Publications
M. Gao, J. Haddock, D. Molitor, D. Needell, E. Sadovnik, T. Will, and R. Zhang. (2019). "Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling." Proc. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).
D. Mcelfresh, S. Dooley, C. Cui, K. Griesman, W. Wang, T. Will, Neil Sehgal, J. Dickerson. (2020). "Can an Algorithm Be My Healthare Proxy?." AAAI International Workshop on Health Intelligence.
Teaching
Awards
- 2020 Robert Gartland Fellow at Columbia IEOR
- 1 of 6 of 34,000 applicants named University Distinguished Scholar in Michigan State’s incoming Class of 2016.
- Dean’s List every semester
- National Merit Scholar
Languages
Python (strongest), R , Matlab, C++ (weakest)