Research

Research Interests:

I develop mathematical and computational methods for modeling, analyzing, and controlling biological systems, with a particular emphasis on gene regulatory networks. My research also includes the development of scalable algorithms for the optimal control of large probabilistic systems using techniques from Markov decision processes and reinforcement learning.

Another area of my research focuses on the computational prediction and design of RNA secondary structure using machine learning and topological data analysis. A list of my publications can be found here.

Research Projects: Current research directions include:

• A mathematical theory for the biological concept of modularity Funded by NSF grant.

• Personalization and calibration of medical digital twins.

• Predicting the directability of RNA secondary structure. Funded by UK's Pilot Grant.

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