Assistant Professor, Computational Precision Health
Subject areas:
Research
Developing combined hardware-algorithmic tools for better monitoring what is happening inside patients’ bodies while they are at home, especially in the case of complex or neurological diseases. At the intersection of computation, statistical modeling, ML/AI, physiology, neuroscience, and clinical medicine. End-to-end pipeline from developing non-invasive sensor systems to running patient studies to developing models and methods and analyzing data. Methods dev focused on embedding physiology into AI models. Examples of disease areas previously/currently working on: chronic migraine, surgical pain under anesthesia, traumatic brain injury, chronic fatigue syndrome, women’s health, digestive disorders. Always open to other disease areas!