My current research centers on biological systems: enzyme function, metabolism, and cellular adaptation. The methodological thread is the integration of learning, mechanistic constraints, and experimental evidence.
The Persistent Gap: Data-rich models can detect patterns, while mechanistic models can enforce feasibility. Yet neither alone reliably explains or redesigns complex biological behavior. My research portfolio addresses that gap across sectors and scales.
The Consistent Scientific Objective: Determine why a biological state is possible, which constraints sustain it, and how those constraints can be measured, challenged, or redesigned.
Choose an area, then explore each project's question, contribution, evidence, and resources.
Protein sequence, substrate chemistry, and biochemical evidence for mutation-sensitive prediction and research workflows.
View projectsProteome-informed growth prediction and isotope-informed dynamic modeling of changing metabolic systems.
View projectsCurrent investigations into pancreatic-cancer adaptation and multi-omics prediction of immune responses.
View projectsFirst-principles models, predictive control, and sensor placement for physical and agricultural systems.
View projects
Research collaboration, scientific software, engineering questions—or a thoughtful conversation about where to begin.
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