Sheraz Khan, PhD

 

I am Instructor (Research Faculty) at Massachusetts General Hospital (MGH), Harvard Medical School and Massachusetts Institute of Technology (MIT).  I have developed novel signal processing methods for understanding neural underpinnings of autism. My papers like; Khan et al, BRAIN, 2015 and Khan et al, PNAS, 2013 sheds 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.

During my happy hours I contribute to MEG/EEG processing packages (MNE1/Brainstrom2). The tools that we developed are routinely used in MEG/EEG research and have led to several high impact publications.

Since 2010, I am 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. Beside that I  contribute to Harvard Medical School and MIT brain imaging courses. I routinely mentor several scientist at undergraduate, graduate and postdoctoral level in imaging data acquisition, analysis, interpretation and statistics.

Before joining MGH I completed my PhD (summa cum laude) in Applied Mathematics at Ecole Polytechnique, France under the supervision of Drs Sylvain Baillet and Habbib Ammari. My PhD research binds together two of the most important aspects of MEG research: spatial and temporal dynamics. I have also received Masters in Signal Processing from SUPELEC, France in 2006 and Bachelor of Engineering in Electronics from NED University, Pakistan in 2002 (summa cum laude). 

1.  https://github.com/mne-tools/mne-python

2.  https://github.com/brainstorm-tools