Girish Nadkarni Mount Sinai School of MedicineUnited States

Dr. Girish N. Nadkarni is the Fishberg Professor in Medicine at the Icahn School of Medicine at Mount Sinai. He is also the Chief of the Division of Data Driven and Digital Medicine (D3M) and the Director of the Charles Bronfman Institute of Personalized Medicine. He received training in Mathematics before completing his medical degree at one of the top-ranked medical colleges in India. He then received a Master’s in Public Health at the Johns Hopkins Bloomberg School of Public Health in Baltimore, MD, and then was a Research Associate at the Johns Hopkins Medical Institute. Dr. Nadkarni completed his residency in Internal Medicine and a clinical fellowship in Nephrology at the Icahn School of Medicine at Mount Sinai. He then completed a research fellowship in Personalized Medicine at the Charles Bronfman Institute of Personalized Medicine. Dr. Nadkarni has authored over 300 peer-reviewed scientific publications including ones in the New England Journal of Medicine, Journal of American Medical Association, Annals of Internal Medicine, The Lancet and Nature Medicine. He has received many awards including the best outgoing senior resident award, Dr. Harold and Golden Lamport research award, the ANIO rising star award and the Deal of the Year award at Sinai Innovations. He is the principal investigator for several NIH funded grants. Dr. Nadkarni is also the scientific co-founder of several investor-backed companies, two of which are publicly traded.

30 MARCH 2023

Time Session
08:30
10:30
Brian Athey Chairperson University of MichiganUnited States
Mark Ibberson Chairperson Mark.Ibberson@sib.swissDrSwitzerland
Wenjun Ju Chairperson wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States
  • Improving Kidney Health Through Big Data and Data Science - Experience from China
    LuXia Zhang Speaker Peking University First HospitalChina
  • Searching the Global Knowledge Base in Real Time: How Can Renal Researchers Responsibly Utilize ChatGTP and Related Resources in Research and Education. With Live Demonstrations and Discussion.
    Brian Athey Speaker University of MichiganUnited States
  • The Future of Artificial Intelligence and Machine Learning in Kidney Health and Disease
    Girish Nadkarni Speaker Mount Sinai School of MedicineUnited States
  • Q and A
MR 109 CDHG
14:00
16:00
Brian Athey Chairperson University of MichiganUnited States
Mark Ibberson Chairperson Mark.Ibberson@sib.swissDrSwitzerland
Wenjun Ju Chairperson wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States
  • Panel Discussion
    Girish Nadkarni Speaker Mount Sinai School of MedicineUnited States
    John Cijiang He Speaker United States
    Heather Ascani Speaker University of MichiganUnited States
    Darren Kelly Speaker Certa TherapeuticsAustralia
    Jonathan Himmelfarb Speaker jhimmelfarb@nephrology.washington.eduKidney Research Institute, University of Washington United States
    Maria F. Gomez Speaker Sweden
  • Hands-on Training: Online Data Mining for Molecular Analysis of Renal Disease
MR 109 CDHG