Presenters at the May 11, 2022 Mini-Symposium:
- Daniel de Marchi: Machine learning didactic overview (unsupervised vs supervised methods, advantages, limitations, & requisite data requirements)
- Graduate student, Gillings School of Public Health, Department of Biostatistics
- Anna Kahkoska, MD/PhD: Type 1 diabetes phenotypes
- Assistant Professor, Gillings School of Public Health, Department of Nutrition
- Amanda Nelson, MD & Tom Keefe: Osteoarthritis phenotypes
- Associate Professor, School of Medicine, Division of Rheumatology, Allergy, & Immunology (Nelson) and
- Graduate student, Department of Statistics & Operations Research (Keefe)