Heather Ascani University of MichiganUnited States

1 APRIL 2023

Time Session
15:45
16:45
How to Use Big Data in Kidney Discovery Research
Wenjun Ju Chairperson wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States
Maria F. Gomez Chairperson Sweden
  • Summary of Big Data and Open Science Pre-symposium
    Wenjun Ju Speaker wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States
  • Panel Discussion
    Anil Karihaloo Speaker Novo NordiskUnited States
    Darren Kelly Speaker Certa TherapeuticsAustralia
    Heather Ascani Speaker University of MichiganUnited States
    Jonathan Himmelfarb Speaker jhimmelfarb@nephrology.washington.eduKidney Research Institute, University of Washington United States
    Olga Troyanskaya Speaker Princeton UniversityUnited States
  • Moderated Free Communication with Panelists
  • Summary and Conclusion
    Maria F. Gomez Speaker Sweden
MR 109 CDHG

30 MARCH 2023

Time Session
14:00
16:00
Open Science Course: Working With Large Scale Data Sets for the Nephrologist - Panel discussion: Challenges and Opportunities of Big Data and Open Science in the Kidney Field. Hands-on Training: Online Data Mining for Molecular Analysis of Renal Disease
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