Michal Juraska, PhD, MS
Senior Staff Scientist, Biostatistics, Bioinformatics and Epidemiology Program
Vaccine and Infectious Disease Division, Fred Hutch
Dr. Juraska is a biostatistician engaged in statistical and clinical trial methods research meeting tangible needs in vaccine science (HIV, COVID-19, malaria, dengue, and other diseases). As a faculty member of the HIV Vaccine Trials Network (HVTN) and the COVID-19 Prevention Network (CoVPN), he has served as a lead statistician on several vaccine and monoclonal antibody efficacy trials and has led independent reporting to or served as a member of data monitoring committees. Dr. Juraska has expanded the fields of sieve analysis of breakthrough pathogen features and statistical evaluation of immune biomarkers as correlates of vaccine protection. He has contributed to developing clinical immunobridging strategies aimed at paving pathways to licensure based on immunological surrogate endpoints, in the absence of clinical outcomes.
Education
University of Washington, 2012, PhD (Biostatistics)
University of Washington, 2009, MS (Biostatistics)
Charles University in Prague, 2007, MS (Mathematical Statistics)
Research Interests
HIV, COVID-19 and malaria vaccine development
Design and analysis of vaccine and monoclonal antibody efficacy trials
Sieve analysis of breakthrough pathogen features
Immunological correlates of vaccine protection
Surrogate endpoint-based vaccine approval strategies
Current Projects
Sieve and immune correlates analyses in HIV, COVID-19 and malaria vaccine trials
Prediction of HIV sensitivity to and prevention efficacy of broadly neutralizing antibodies based on HIV sequence and structural knowledge
Statistical methods and software for surrogate endpoint-based vaccine approval
Statistical design of HIV vaccine and monoclonal antibody efficacy trials in current prevention landscape
Software
Teaching Interests
Mentoring students, interns, and early-career statisticians
Teaching workshops on statistical and computational tools for sieve and immune correlates analyses