Stanford University
Showing 1-10 of 121 Results
-
Punnag Padhy
Postdoctoral Scholar, Materials Science and Engineering
Current Research and Scholarly InterestsCurrently, I am working on an on-chip platform to simultaneously trap and manipulate micron scale beads and droplets with an intention to implement chemical reactions on a chip at ultrasmall volumes.
-
Yellappa Palagani
Postdoctoral Scholar, Cardiothoracic Surgery
BioYellappa Palagani is currently a Postdoctoral Fellow in Cardiothoracic Surgery at Stanford University. In Dr Ma's lab, he is developing an MRI-compatible mock circulatory loop and cardiac phantoms to simulate common congenital heart defects. Prior to joining Stanford, he was a Postdoctoral Associate in Cardiac Surgery at Yale University from April 2021 to March 2023, where he worked on left ventricular assist devices and smart inductive stents. In August 2020, he received his Ph.D. in Electronics Engineering from Kyungpook National University, South Korea. During his Ph.D., he worked on wirelessly powered cardiac pacemakers and wearable cardiac arrhythmia indicators.
-
Feng Pan
Postdoctoral Scholar, Materials Science and Engineering
BioFeng Pan is a postdoctoral scholar with Prof. Jennifer A. Dionne in the Department of Materials Science and Engineering at Stanford. He received his Ph.D. in Physical Chemistry at the University of Wisconsin Madison, advised by Prof. Randall H. Goldsmith, and M.S. in Physical Chemistry at Texas A&M University, advised by Prof. Simon W. North, and B.S. in Chemistry at Jilin University (China). His research expertise spans several aspects, including plasmonics, nanophotonics, and single-particle microresonator microscopy and spectroscopy, planar laser-induced fluorescence for molecular tagging velocimetry and thermometry in gaseous flows.
-
Pritam Kumar Panda
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsDr. Panda’s current research at Stanford University School of Medicine centers on the innovative design of anesthetics optimized for battlefield application. His work integrates advanced methodologies such as AI-driven protein design, molecular dynamics simulations, and computational drug design to identify and model potential anesthetic compounds with precision and efficacy.
