CV
Education
- B.S. in Computer Science, B.S. Computational, Applied Mathematics; Statistics, UMass Amherst, 2019
- M.S. in Computer Science, concentration in Data Science, UMass Amherst, 2021 (expected)
Work experience
- Summer 2019: Machine Learning Intern - Cyber Operations and Analysis Technology
- Summer 2018: Machine Learning Intern - Space Systems Analysis and Test
- Summer 2017: Software Engineering Intern
- Knolls Atomic Power Laboratory
Teaching
- Undergraduate Course Assistant
- Fall 2018 - Introduction to Programming (Java)
- Spring 2019 - Artificial Intelligence (Python)
- Graduate Teaching Assistant
- Introduction to Computation (theory of computation)
Publications
- B. Metevier, S. Giguere, S. Brockman, A. Kobren, Y. Brun, E. Brunskill, and P. S. Thomas. Offline Contextual Bandits with High Probability Fairness Guarantees. In Advances in Neural Information Processing Systems, 2019.
- J.M. Sierchio, J. Birge, S. Brockman, et al. Deep Learning for Space Object Identification. In AFRL Space Situational Awareness Conference (SSA), 2018. (Not publicly released)
Awards and Scholarships
- Baystate Fellowship, ACM travel award