Grace Huynh

Grace Huynh received her PhD in Bioengineering from UCSF/UC Berkeley, where she developed drug delivery methods for delivering nanoparticles and small molecules to the brain. She subsequently received her MD at Stanford University. Then she worked with the Institute for Disease Modeling, leading development of a computational model for tuberculosis disease progression and transmission. This model was used to support policy at the Chinese Center for Disease Control and to support the TB delivery strategy at the Bill and Melinda Gates Foundation. While a research scientist in the Synthetic Neurobiology group, she focused on the integration of novel neurotechnologies for brain mapping. She then moved on to a position at Microsoft Research, in their genomics group.

Publications

Cortical column and whole-brain imaging with molecular contrast and nanoscale resolution

Science | 2019

Ruixuan Gao*, Shoh M. Asano*, Srigokul Upadhyayula*, Igor Pisarev, Daniel E. Milkie, Tsung-Li Liu, Ved Singh, Austin Graves, Grace H. Huynh, Yongxin Zhao, John Bogovic, Jennifer Colonell, Carolyn M. Ott, Christopher Zugates, Susan Tappan, Alfredo Rodriguez, Kishore R. Mosaliganti, Shu-Hsien Sheu, H. Amalia Pasolli, Song Pang, C. Shan Xu, Sean G. Megason, Harald Hess, Jennifer Lippincott-Schwartz, Adam Hantman, Gerald M. Rubin, Tom Kirchhausen, Stephan Saalfeld, Yoshinori Aso, Edward S. Boyden**, Eric Betzig** (2019) Cortical column and whole-brain imaging with molecular contrast and nanoscale resolution, Science 363(6424):eaau8302. (*, equal contribution, **, co-corresponding)