I am a computer scientist, currently pursuing a doctorate degree from the Computer Science Department at Duke University. My academic advisors are Cynthia Rudin and Ron Parr. My research interests span across interpretable machine learning, responsible and trustworthy AI, AI in healthcare, reinforcement learning, and reasoning.

Before joining Duke I worked for two years in Augmented Reality team at Samsung Research and Development Institute Ukraine. I received my M.S. and B.S. in Applied Mathematics from the Taras Shevchenko National University of Kyiv, Department of Computer Science and Cybernetics.



I served as a Teaching Assistant for the following classes:
  • CS474, Data Science Competition, SP23, Duke University
  • Terng Lecture Course on Interpretable Machine Learning, May 2022, Institute of Advanced Study
  • CS474, Data Science Competition, SP22, Duke University
  • CS474, Data Science Competition, SP21, Duke University
  • CS571, Probabilistic Machine Learning, SP18, Duke University
  • CS101, Introduction to Computer Science, SP17, Duke University