Daniel Forger, PhD
Robert W and Lynn H Browne Professor of Science, Professor of Mathematics, Research Professor, Computational Medicine & Bioinformatics
Literature, Science, and the Arts
My students, post-docs and I develop novel algorithms to measure these factors in the real world from smartphones, wearables or other sensors. This data has low signal to noise ratios, contains large gaps which create mathematical artifacts, and is masked by unexpected real-world events. I am also particularly interested how physiology, e.g., neuropeptide regulation, the electrical activity of neurons, and cellular biochemistry, affects human performance. To understand this physiology, as well as differences that arise due to genetics or pharmacological intervention, we develop large-scale models to bridge scales from the genome to human behavior. Much of my time focuses on applying mathematical techniques from dynamical systems, numerical methods and machine learning to simulate and analyze such large-scale models, often using graphics processing units.
Research Area(s)
Biological rhythms | Circadian clock | Mood | Sleep
Grants
- Co-investigator of: Assessing the effects of lighting interventions on fatigue in three populations of cancer patients
- Co-investigator of: Ambulatory Sleep Phenotyping and Real-Time Assessment of Symptoms in Multiple Sclerosis: Application of Novel Algorithms with a Multisensory, Wrist-Worn Device
- Co-investigator of: Early detection of disease in medical interns using wearable data