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Paydarfar, David

David Paydarfar

Department Chair, Neurology, Professor of Neurology
Dell Medical School, Department of Neurology


Office Location
HDB 5.704

Postal Address
AUSTIN, TX 78712

David Paydarfar is professor and chair of the Department of Neurology at Dell Medical School. He previously served as professor and executive vice chair of the Department of Neurology at the University of Massachusetts Medical School, and as an associate faculty member of the Wyss Institute for Biologically Inspired Engineering at Harvard University. Paydarfar received a B.S. in physics (summa cum laude) from Duke University and an M.D. degree from The University of North Carolina at Chapel Hill. He completed his residency training in neurology at Massachusetts General Hospital and Harvard Medical School. He practices general neurology and is a fellow of the American Neurological Association and an investigator of the Clayton Foundation for Research.

Dr. Paydarfar’s basic research program seeks to understand mechanisms underlying disease states associated with abnormal behavior of neural oscillators such as apnea, circadian dysrhythmias and epilepsy, as well as the coordination of pacemakers with other physiological and behavioral functions. His research is funded by the National Institutes of Health, the National Science Foundation and the Clayton Foundation for Research. 



Sensory dysphagia: A case series and proposed classification of an under recognized swallowing disorder
Laura Santoso, Daniel Y. Kim, David Paydarfar.
Head & Neck. (2019) (link)


Quantifying Movement in Preterm Infants Using Photoplethysmography
Ian Zuzarte, Premananda Indic, Dagmar Sternad, David Paydarfar.
Annals of Biomedical Engineering. (2018) (link)

Optimizing Stimulus Waveforms for Electroceuticals.
Joshua Chang and David Paydarfar.
Biological Cybernetics (2018) (link)

Optimizing Stimulus Waveforms for Suppressing Epileptic Activity Reveals a Counterbalancing Mechanism
Joshua Chang and David Paydarfar.
2018 40th IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, 2018, pp. 2226-2229. (link)

Online Bayesian Changepoint Detection for Physiological Transitions
Alan H. Gee, Joshua Chang, Joydeep Ghosh, and David Paydarfar.
2018 40th IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, 2018, pp. 45-48. (link)

Evolution of extrema features reveals optimal stimuli for biological state transitions
Joshua Chang and David Paydarfar.
Scientific Reports 8 (2018): 3403.  (link)