I am a researcher associate at the School of Computer Science, Carnegie Mellon University (CMU) and a member of the Technology for Effective and Efficient Learning (TEEL) Lab at CMU. Before joining CMU in September 2020, I worked as a data scientist at international law firm Reed Smith (2017-2020). I obtained an undergraduate computer science and graduate law degrees from the Masaryk University in Brno, Czechia, as well as Ph.D. in Intelligent Systems mentored by prof. Kevin D. Ashley from the University of Pittsburgh. I have regularly published in and reviewed for Q1 journals, and presented at top-tier international conferences. I am a member of the editorial board of the Artificial Intelligence and Law journal. I have participated in NSF-funded research projects focused on using AI to increase fairness by improving access to justice (PI Kevin D. Ashley) and investigating the use of real-time data for augmenting teaching practice in project-based learning in STEM (PI Majd Sakr). My dissertation work was funded by the National Institute of Justice with its highly competitive Graduate Research Fellowship in Science, Technology, Engineering and Mathematics.