Dr. Daniel Forger

Biography

Daniel Forger is the Robert W. Browne Professor in the Department of Mathematics at the University of Michigan. He serves as the Director of the Multi-Scale Computational Academic Initiative for Mathematics (MCAIM). Forger's research focuses on mathematical biology and applied mathematics. His work investigates how physiological factors influence human performance, particularly during sleep and the timing of the internal circadian clock. He develops applications aimed at helping travelers avoid jet lag and analyzes sleep patterns in medical interns. Forger's expertise extends to creating algorithms to measure real-world factors using data from smartphones and wearable sensors, despite challenges posed by low signal noise ratios and the presence of gaps in data. He is particularly interested in the interface of physiology and human performance, exploring aspects such as neuropeptide regulation and neuronal electrical activity. Forger applies mathematical techniques, including dynamical systems and numerical methods, alongside machine learning, to simulate and analyze large-scale models, effectively utilizing graphics processing units (GPUs) in his research.

Research Interests

Experience