Associate Professor
Department of Cardiothoracic Surgery Department of Chemical Engineering (by courtesy)
https://profiles.stanford.edu/ngan-huang
Ngan F. Huang is an Associate Professor in the Department of Cardiothoracic Surgery at Stanford University and Principal Investigator at the Veterans Affairs Palo Alto Health Care System. Dr. Huang completed her BS in Chemical Engineering from the Massachusetts Institute of Technology, followed by a PhD in bioengineering from the University of California Berkeley & University of California San Francisco Joint Program in Bioengineering.
Prior to joining the faculty, she was a postdoctoral scholar in the Division of Cardiovascular Medicine at Stanford University. Her laboratory investigates the interactions between stem cells and extracellular matrix microenvironment for engineering cardiovascular tissues to treat cardiovascular and musculoskeletal diseases. Dr. Huang has authored over 90 publications and patents, including reports in Nat Med, PNAS, and Nano Lett. She has received numerous honors, including a NIH K99/R00 Career Development Award, Fellow of the American Heart Association, a Young Investigator award from the Society for Vascular Medicine, a Young Investigator Award from the Tissue Engineering and Regenerative Medicine International Society-Americas, and a Rising Star award at the Cell & Molecular Bioengineering conference. Her research is funded by the NIH, Department of Defense, California Institute of Regenerative Medicine, American Heart Association, and Department of Veteran Affairs. She is deeply dedicated to promoting the participation of veterans and underrepresented minorities in STEM-related careers and frequently gives STEM seminar lectures to local veteran and Hispanic
SAGE Project: Examination of the socio-behavioral factors associated with variations in muscle aging in diverse older adults
Muscle aging is associated with frailty, which is a major predictor of morbidity and death in older adults The goals of this project are to identify novel biomarkers of muscle aging using an existing RNASeq dataset of microgravity-aged muscle cells and to examine their associations with social and dietary factors. Recent findings highlight new transcripts and proteins not previously associated with muscle aging.
