Dr. Sheraz Khan is an Instructor (Research Faculty) at Massachusetts General Hospital (MGH), Harvard Medical School and Massachusetts Institute of Technology (MIT). He has developed novel signal processing methods for understanding neural underpinnings of autism. His publications, including Khan et al, BRAIN, 2015 and Khan et al, PNAS, 2013 shed new light on functional connectivity in autism. The neurophysiological metrics presented in these papers, can be used to blindly identify individuals with ASD with high accuracy and correlate with severity of autism.

Dr. Khan contributes to MEG/EEG processing packages (MNE/Brainstorm). These tools are routinely used in MEG/EEG research and have led to several high impact publications. Since 2010, Dr. Khan has been part of the teaching faculty for Annual Multi-modal Neuroimaging course organized by MGH/HST Martinos Center for Biomedical Imaging, in which participants from all over the world get trained in different neuroimaging modalities. He contributes to Harvard Medical School and MIT brain imaging courses and routinely mentors several scientist at undergraduate, graduate and postdoctoral level in imaging data acquisition, analysis, interpretation and statistics.

Education

PhD in Computational and Applied Mathematics, Ecole Polytechnique, France

Select Publications

1. Khan S, Cohen D. Using the magnetoencephalogram to noninvasively measure magnetite in the living human brain. Hum Brain Mapp. 2019 Apr 1;40(5):1654-1665.

2. Samuelsson JG, Khan S, Sundaram P, Peled N, Hämäläinen MS. Cortical Signal Suppression (CSS) for Detection of Subcortical Activity Using MEG and EEG. Brain  Topogr. 2019 Mar;32(2):215-228.

3. Mamashli F, Khan S, Obleser J, Friederici AD, Maess B. Oscillatory dynamics of cortical functional connections in semantic prediction. Hum Brain Mapp. 2019 Apr 15;40(6):1856-1866.

Highlights

2010: Young Investigator Award Ecole Polytechnique, France

2013: Posters of Distinction, Research Fellows Poster Celebration, Massachusetts General Hospital, USA

2018: Young Investigator Award, International society for Biomagnetism, USA

Websites

The David Cohen MEG Laboratory
Khan Lab