About
I am a researcher in applied mathematics with expertise in stochastic filtering, numerical analysis, and Bayesian inference. My work focuses on estimating hidden dynamics in stochastic reaction networks, with applications to systems biology.
I received my Ph.D. in Applied Mathematics from the University of Maryland, Baltimore County in 2023, under the supervision of Dr. Muruhan Rathinam. I am currently a Program Manager and Researcher at MEERI.org, where I lead a STEM mentorship program.
I am actively seeking postdoctoral positions in applied mathematics, computational biology, artificial intelligence or related areas, and am available immediately.
Research Interests
- Stochastic filtering algorithms
- State and parameter estimation in stochastic dynamical systems
- Numerical analysis and scientific computing
- Systems biology and biological digital twins
- Machine learning and Artificial Intelligence
News
- June 2026 — Spoke at the ICM@ICM 2026 Satellite Conference at Morgan State University: Estimating Hidden Dynamics in Stochastic Reaction Networks from Partial Observations (slides)
- April 2026 — Presented a poster at the CIMBRE Symposium: Estimating Hidden Dynamics in Stochastic Reaction Networks from Partial Observations
- March 2026 — Judged student projects at regional science fairs.
- January 2024 — Paper published in Journal of Computational Physics: Stochastic Filtering of Reaction Networks Partially Observed in Time Snapshots
- October 2022 — Talk at Mid-Atlantic Numerical Analysis Day