Todd Coleman
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Todd Prentice Coleman | |
|---|---|
| Born | 1977 (age 47–48) |
| Alma mater | Massachusetts Institute of Technology University of Michigan |
| Scientific career | |
| Institutions | Stanford University University of Illinois Urbana-Champaign University of California, San Diego |
| Thesis | Low-complexity approaches to distributed data dissemination (2006) |
Todd Prentice Coleman (born 1977) is an American electrical engineer and associate professor at Stanford University. He is a Fellow of the American Institute for Medical and Biological Engineering and Institute of Electrical and Electronics Engineers.
Coleman completed his undergraduate and graduate degrees at the University of Michigan.[1] He moved to the Massachusetts Institute of Technology for his doctoral research, where he used low complexity approaches to distributed data dissemination.[2][3] He worked alongside Muriel Médard using Slepian–Wolf coding. He was a postdoctoral researcher at Massachusetts General Hospital, where he worked in computational neuroscience.[4]
Research and career
Coleman uses bioelectronics, mathematics and physiology to create new technologies. He started his faculty career at the University of Illinois Urbana-Champaign and University of California, San Diego. He joined Stanford University in 2021.[5]
Coleman creates wearable sensors for medical imaging and biological applications.[6] The sensors that Coleman has developed can monitor temperature and heart rate, and wirelessly transfer information to recording devices (e.g. smart phones). Coleman created an array of sensors for gastrointestinal disease, which can be attached to the abdomen and record EKG information whilst patients go about their normal routine.[6]
