Krishnakant is an electrical engineer with an interest in translational clinical research. During his PhD, he developed novel frameworks that combine clinicians’ domain knowledge with machine learning to improve the diagnosis and understanding of Alzheimer’s disease and epilepsy.
As a Schmidt Science Fellow, Krishnakant will pivot from Biomedical Engineering to Neuroscience working with Professor Edward Chang at the University of California, San Francisco, to optimize brain stimulation treatment for epilepsy and improve patient treatment outcomes. Krishnakant will leverage computational models of brain activity combined with large-scale data on brain activity of epilepsy patients undergoing stimulation treatment. By combining computational models, data, and clinicians’ insights, his research will help us understand the factors influencing stimulation outcomes and provide directions for optimizing them.
With the growing burden of neurological disorders on society, Krishnakant hopes his research can help millions of people suffering from these disorders by developing accessible technologies for early diagnosis and personalized treatment.