I presented my poster, “Microbiome-Aided Classification of Forensic Body Fluids via Conjecturing and Machine Learning,” at the INFORMS 2025 Minority Issues Forum (MIF) Poster Competition during the Annual Meeting.

The research integrates interpretable machine learning with microbial signatures to advance forensic analysis. I'm grateful to my advisor, Dr. Paul Brooks, and collaborators. 

I also gave a talk on Reinforcement Learning alongside colleagues (Sahil Chindal, Parastoo B., Mauli Pant, Rekik Ziku, and Godfred Ahenkroa Kesse), sharing new findings and future directions.

I have completed the Ohio University Young Alumni Leaders Program as part of the Fall 2025 cohort.

This program, hosted by the Ohio University Alumni Association, brought together emerging alumni leaders for intentional learning, mentorship, and community-building around values-driven leadership and service. It has deepened my commitment to leading with integrity, amplifying the impact of fellow Bobcats, and giving back to the communities that shaped me.

I’m grateful to the Alumni Association team, our facilitators, and my cohort peers for the insights, encouragement, and friendships built along the way.

On April 29, 2025, I delivered a graduate seminar at Virginia Commonwealth University (VCU) on my research titled “Heuristics to Learning: A Reinforcement Approach to Mathematical Conjecturing.”

My presentation introduced a novel reinforcement learning (RL) method for automating symbolic reasoning tasks by integrating RL into mathematical conjecturing frameworks. Building on the deterministic Dalmatian heuristic used in the CONJECTURING tool by Brooks et al., I proposed a dynamic RL-based approach that filters and evaluates symbolic expressions through sequential decision-making.

The seminar was well received by faculty and graduate students, highlighting new directions for automated reasoning in mathematics.

Watch Seminar Recording