Denys is a Visiting Research Fellow at NYU, advised by Dr. Julia Stoyanovich and working closely with Falaah Arif Khan. He graduated from Ukrainian Catholic University with a B.S. in Computer Science in 2023. His primary research focus revolves around the development of fair, stable, and trustworthy machine learning systems, which strive to consistently bring value to people through effective decision-making processes. In particular, he is interested in responsible artificial intelligence, trustworthy machine learning, distributed systems, and data-processing architectures. Beyond academia, Denys finds solace in staying physically active at the gym, embracing the joy of running, and relishing his passion for reading.
Selected publications
Still More Shades of Null: A Benchmark for Responsible Missing Value Imputation
Falaah Arif Khan, Denys Herasymuk, Nazar Protsiv, and Julia Stoyanovich