I am a rising senior at Miami University pursuing a B.S. and M.S. in Computer Science, a B.S. in Data Science and Statistics, and a minor in Mathematics. My research has focused on three main areas:
- Fuzzy Cognitive Maps (an interpretable graph-based simulation model)
- Network science and simulation for adolescent suicide prevention in collaboration with the Centers for Disease Control and Prevention (CDC)
- Machine learning for healthcare.
As a result of these three research areas, I am interested in trustworthy machine learning (interpretable, robust, and fair) and its health applications. I plan on joining a Ph.D. program starting in the fall of 2024 to pursue these interests.
At Miami, I am advised by Professor Philippe Giabbanelli. This summer, I am interning with Professor Artur Dubrawski in the Auton Lab at Carnegie Mellon University and am developing a machine learning-based approach for resuscitation sufficiency analysis.
Previously, I interned as a Quantitative Research Intern at Artisan Partners in Boston and as a Software Engineer at Joot, a fintech startup. I also worked on machine learning for cybersecurity with Professor Suman Bhunia.
Outside of work, I enjoy working out, cooking, hiking, and other hobbies, which you can read about on my personal website.
Please feel free to get in touch. My email is schuerr2 at miamioh dot edu.
P.S., most of my research code is elsewhere (e.g., OSF and Zenodo).