Heman Shakeri

Heman Shakeri is an Assistant Professor at the School of Data Science, University of Virginia (UVA), where he leads the DYNAMO Lab. He is also a member of the UVA Center of Diabetes Technology and the UVA Cancer Center, reflecting his interdisciplinary research in biomedical applications of machine learning and control systems.

• Ph.D. in Electrical and Computer Engineering, Kansas State University
• M.S. in Mechanical Engineering, Amirkabir University of Technology – Tehran Polytechnic
• B.S. in Mechanical Engineering, Amirkabir University of Technology

Dr. Shakeri's research focuses on algorithm development in machine learning, learning-based control, and network science, with applications in diabetes management, single-cell signaling, glaucoma risk assessment, and complex dynamical systems. His work bridges artificial intelligence, control theory, and data science to solve real-world biomedical challenges.

The 15 most recent publications highlight a strong trend in dynamical systems modeling, stochastic flow matching, Koopman operator theory, and reinforcement learning for biomedical control. His papers frequently appear in top-tier venues such as ICML, NeurIPS, ICLR, and IFAC, demonstrating consistent innovation in both methodological and applied domains.

Dr. Shakeri has received numerous scientific awards and grants, including:

• NIH R01 Grant ($1.6M) for optimizing renal cancer treatment
• Capital One Data Design Fellowship ($55k)
• LaunchPad Grant ($200k) for artificial pancreas research
• UVA Research Communications Fellow (2024)
• Multiple pilot awards from UVA Cancer Center, Brain Institute, and Ivy Foundation

He actively mentors graduate students and postdoctoral researchers in the DYNAMO Lab, supporting translational research from algorithm design to clinical applications. His lab has secured funding from NIH, NCI, Oracle, and industry partners, indicating strong external validation of his research vision. The lab collaborates extensively with clinical and computational teams across UVA, particularly in diabetes and cancer research.

The DYNAMO Lab is a hub for advancing machine intelligence for dynamical systems, with current projects including smart artificial pancreas systems, explainable AI for glaucoma, operator-theoretic methods, and complex network analysis. The lab emphasizes interdisciplinary collaboration, real-world impact, and methodological rigor.