Xiao Wang is a core institute member of the Broad Institute of MIT and Harvard and an associate professor in the Department of Chemistry at MIT. She started her lab in 2019 to develop and apply new chemical, biophysical, and genomic tools to better understand tissue function and dysfunction at the molecular level.

Xiao Wang is a core institute member of the Broad Institute of MIT and Harvard and an associate professor in the Department of Chemistry at MIT. She started her lab in 2019 to develop and apply new chemical, biophysical, and genomic tools to better understand tissue function and dysfunction at the molecular level.

Xiao Wang is a Thomas D. and Virginia W. Cabot Professor at MIT in the Department of Chemistry. [1] She is the first Core Member of the Broad Institute with an academic appointment in the Department of Chemistry at MIT. [2] Her work focuses on designing and producing new tools and methods for analyzing the brain.

In specific, with in situ sequencing of nucleic acids as the core approach, I aim to develop high-resolution and highly-multiplexed molecular imaging methods across multiple scales toward understanding the physical and chemical basis of brain wiring and function.

I am an assistant professor of computer science at Northwestern University. My research interests broadly cover computer security, privacy, and cryptography.

Xiao Wang is a core institute member at the Broad Institute of MIT and Harvard and an associate professor in the Department of Chemistry at MIT. At the Broad, she develops and applies new chemical, biophysical, and genomic tools to better understand brain function and dysfunction at the molecular level.

Xiao Wang is an associate professor in the School of Biological and Health Systems Engineering at Arizona State University. He is interested in using both forward (synthetic biology) and reverse (systems biology) engineering approaches to understand biology.

Xiao Wang (王潇) Associate Professor at MIT; Core Member at Broad Institute of MIT and Harvard. ... X Wang, Z Lu, A Gomez, GC Hon, Y Yue, D Han, Y Fu, M Parisien, Q Dai, ... Nature 505, 117-120, 2013. 4033: 2013: N6-methyladenosine modulates …

Xinyi Zhang, Xiao Wang, GV Shivashankar, Caroline Uhler#. Graph-based autoencoder integrates spatial transcriptomics with chromatin images and identifies joint biomarkers for Alzheimer’s disease. Nature Communications 2022, 13, 1-17.

I am an (non-tenured) associate professor of Institute for Theoretical Computer Science at SUFE. Before joining SUFE, I did my postdoc at SUTD under supervision of Georgios Piliouras and Ioannis Panageas. I got my B.S. from China University of Geosciences (Beijing) and Ph.D in Mathematics from University at Buffalo, advised by Mohan Ramachandran.