Dr. Sukant Khurana is a polymath, a neuroscientist and a data scientist who enjoys studying complexity and nuances, whether of brain functioning, drug discovery, development of new statistical tools, or analysing large data sets. He works on drug discovery for various neurological disorders, including alcohol addiction, using plant extracts, peptides, and epigenetic agents. He is both experimentally, theoretically and computationally exploring mechanisms of Parkinson's disease, activity dependent brain development, sub-millisecond timing computation in the brain, and mechanisms of neuronal plasticity. His data-science work is on two streams: developing novel statistical tools and utilizing data science for biomedical research. Through data science, he works on causes of sustainable development, where he is exploring issues of mental health, addiction, and AIDS epidemic. Instead of restricting himself to basic sciences, Dr. Khurana has been opening startups and working with various companies in pharmaceutical, nutraceutical, data science and AI fields. Dr. Sukant Khurana is a polymath, a neuroscientist and a data scientist who enjoys studying complexity and nuances, whether of brain functioning, drug discovery, development of new statistical tools, or analysing large data sets. He works on drug discovery for various neurological disorders, including alcohol addiction, using plant extracts, peptides, and epigenetic agents. He is both experimentally, theoretically and computationally exploring mechanisms of Parkinson's disease, activity dependent brain development, sub-millisecond timing computation in the brain, and mechanisms of neuronal plasticity. His data-science work is on two streams: developing novel statistical tools and utilizing data science for biomedical research. Through data science, he works on causes of sustainable development, where he is exploring issues of mental health, addiction, and AIDS epidemic. Instead of restricting himself to basic sciences, Dr. Khurana has been opening startups and working with various comp This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at [ Ссылка ]

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