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
  • MIT Lincoln Laboratory
• Summer 2018: Machine Learning Intern - Space Systems Analysis and Test
  • MIT Lincoln Laboratory
• 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