I am a 5th year PhD student in the School of Information Sciences at the University of Illinois Urbana-Champaign. My research focuses on the intersection of education, machine learning, and ethics.
I am currently advised by Nigel Bosch, and I have had the opportunity to be mentored by other outstanding researchers in the field such as Jed R. Brubaker and Stephen Hutt.
I currently reside in the (Human + Machine) Learning Lab, and have had the opportunity to work with researchers across the globe at the ML4ED Lab, the Future of Learning Lab, and Carnegie Learning.
Summer 2025
Joined the Computational Social Science team at Microsoft Research in New York City.
26 July 2025
Co-chaired the Fair4AIED Workshop at AIED 2025.
July 2025
Presented a full paper at EDM 2025 and a full paper at AIED 2025.
July 2025
Released the open source Python package DebiasED meant for introducting unfairness mitigation in educational machine learning pipelines.
02 February 2025
Guest lectured for Causal Machine Learning (IS 590) at UIUC.
Spring 2025
Guest lectured for Composition at UIUC.
Spring 2025
Guest lectured for IS 400 at UIUC.
I completed my BS in Computer Science, at CU Boulder. During this time I conducted research with the Identity Lab and the Emotive Computing Lab.
Throughout the program I worked as a resident advisor, research assistant, and student assistant.
I spend most of my free time riding bikes, bouldering, listening to music, and competitively playing video games. I mainly ride road bikes as a means to get to and from bouldering gyms. I started my competitive gaming journey with Hearthstone, and transitioned to playing Valorant for both the CU Boulder team and the UIUC team.
The best way to contact me is via email: fstinar2@illinois.edu. Or message me on my (rarely updated) Linkedin.