CV

Education

• Sc.M. in Data Science, Brown University, 2027 (expected)
• Sc.B. in Applied Mathematics-Computer Science, Brown University, 2026

Experience

• Brown University
  • Undergraduate Teaching Assistant @ DSIO 2110
  • Undergraduate Research Assistant @ Singh Lab
  • Data Science Fellow
  • Undergraduate Teaching Assistant @ UNIV 0456
  • Undergraduate Research Assistant @ E-GLAMOR Group
• Industrial Technology Research Institute
  • Research Intern
• Institute of Information Science, Academia Sinica
  • Research Intern

Publications

BetaExplainer: A Probabilistic Method to Explain Graph Neural Networks

Sloneker, W., Patel, S., Wang, H.-J., Crawford, L., & Singh, R. (2025). "BetaExplainer: A Probabilistic Method to Explain Graph Neural Networks." Journal of Statistical Theory and Applications, 24, 469–488.

Time is of the Essence: Why Decision-Time Planning Costs Matter

Wang, K. A., Xia, J., Chung, S., Wang, J., Piedrahita Velez, F., Wang, H.-J., & Greenwald, A. (2024). "Time is of the Essence: Why Decision-Time Planning Costs Matter." Finding the Frame: An RLC Workshop for Examining Conceptual Frameworks.