Data Science Decisions in Time:Sequential Hypothesis Testing

Dr. Thomas Woolf serves as a Professor at Johns Hopkins University School of Medicine since 1994, bringing expertise in biophysics and computational science. After earning his Ph.D. in Biophysics from Yale University and B.S. in Physics from Stanford University, he has established himself as a leader in membrane protein research and computational biophysics. His work combines high-performance computing, machine learning, and molecular dynamics to understand complex biological systems. As director of his research lab, he focuses on studying membrane proteins using advanced computational methods and the molecular dynamics program CHARMM. Beyond his academic work, Dr. Woolf is also CEO and co-founder of DaiWare, Inc., a healthcare company focusing on patient data interpretation using streaming data and machine learning technologies. He teaches courses in stochastic differential equations, probabilistic graphical models, and statistics, while conducting research in time-series analysis, cellular biophysics, and metabolic processes.