Nicholas Wolczynski

I am an AI researcher whose work lies at the intersection of machine learning and human-decision making. The core of my research involves the development and evaluation of AI methods that augment and leverage human expertise to improve human-AI team decisions. As a part of my work, I designed interpretable rule-based methods to advise high-stakes decision makers and I am currently developing concept-bottleneck based methods to improve liver-transplantation decisions. I also study how AI systems can leverage network structure and human expertise to produce fairer AI-assisted fact-checking outcomes. I am a part of the Computational Data Science group at the McCombs School of Business, University of Texas @ Austin, advised by Professor Maytal Saar-Tsechansky. Prior to joining UT, I received an M.S. in Statistics from the University of North Carolina @ Chapel Hill.