Maria F. Gomez Sweden

Maria F. Gomez is Professor of Physiology at the Department of Clinical Sciences, Lund University and Director of Lund University Diabetes Centre (http://www.ludc.lu.se), with ~320 staff members working towards improved diagnosis, prevention and treatment of diabetes. She’s also Honorary Skou Professor at the Faculty of Health, Aarhus University, Denmark. After medical school, Professor Gomez completed her Ph.D. in physiology at Lund University (1998) and post-doctoral studies in Pharmacology at the University of Vermont (2001). She has published ~136 scientific contributions and supervised 11 PhD theses, 13 post-docs and more than 30 undergraduate/master students. She coordinates IMI2 project BEAt-DKD (Biomarker Enterprise Attacking Diabetic Kidney Disease; https://www.beat-dkd.eu/), a public private partnership focused on identifying drug targetable pathways and biomarkers of disease progression and treatment response in DKD. She was scientific coordinator of efforts leading to novel animal models of diabetic complications (2009-2015; https://www.imi-summit.eu/) and leader of the COVID Symptom Study Sweden, an initiative launched to support vital COVID-19 research with >4,7 million contributors globally (https://www.covid19app.lu.se/).

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