Welcome to my home page!

I am a computer scientist specializing in network science, machine learning, algorithms, and modeling & simulation science. I develop computational frameworks to study the complex socio-technical systems that shape our modern world. My work spans the full lifecycle of the field, from theory to the realization of scalable high-performance systems:

• Data and Modeling: I develop digital twins and simulation systems to model various phenomena in public health, agriculture, and socio-environmental resilience.
• Theory: I establish the principled foundations of these systems, focusing on provable performance, impossibility results, and the fundamental properties of large-scale interactions.
• Solving multifaceted computational problems: I design frameworks to address the wide array of computational challenges such as inference, surveillance, forecasting, and control inherent in large-scale system dynamics.

My work takes place in interdisciplinary team environments and has been supported by multiple funding agencies. I have led USDA- and USAID-funded projects that address real-world socio-technical challenges.

Research papers