About Me

I'm a Ph.D. student in Computational Mathematics, Science & Engineering at Michigan State University, where I research computational metascience in the Kerzendorf Lab.

My work focuses on using data science, machine learning, and large-scale computation to study the scientific process itself—how we collaborate, publish, and evolve as a research community. I’m especially interested in how we can design better systems for knowledge creation: from peer review to reproducibility.

I completed my undergraduate degree in Computer Science with minors in Mathematics and Astrophysics at The College of New Jersey. My primary research focused on collective intelligence and natural language processing to build recommender systems. I also worked on projects involving groundwater subsidence, simulated astronomical observations, computational number theory, and active machine learning techniques. This breadth of experience led me to become increasingly curious about how research itself is done and ultimately sparked my interest in metascience.

Outside of research, I’m a big fan of strategic board games, especially those with calculable probabilities. I also enjoy personal finance and the credit card points game, always looking for new ways to optimize value and out-think the system just a little.