Instructor at The MGH/HST Martinos Center for Biomedical Imaging
Greater Boston United States
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Summary
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Mainak Jas is an instructor and neuroimaging researcher with 11 years of experience applying machine learning and signal processing to M/EEG and biomedical imaging. He holds a PhD in Signal and Image Processing from Télécom Paris and has advanced through postdoctoral and research roles at institutions including Harvard Medical School’s Martinos Center and Université de Montréal. His work focuses on temporal representation learning for exploration, denoising, and characterization of multivariate neuroimaging signals, blending rigorous methodological development with human-subject experiments and pattern-recognition analysis. Based in Greater Boston, he bridges academic research and practical imaging applications, bringing deep expertise in ML-driven denoising and temporal modeling that often translates directly to improved experimental design and data quality. An understated strength is his track record of moving between theory and hands-on experimentation, enabling reproducible advances in functional neuroimaging.
11 years of coding experience
MSc Tech Machine Learning and Data Mining, MSc Tech Machine Learning and Data Mining at Aalto University
Doctor of Philosophy - PhD Signal and Image Processing, Doctor of Philosophy - PhD Signal and Image Processing at Télécom Paris
BTech Instrumentation Engineering, BTech Instrumentation Engineering at Indian Institute of Technology, Kharagpur
AISSCE Science, AISSCE Science at Delhi Public School - R. K. Puram
Contributions:2 PRs, 36 pushes, 3 branches in 5 months
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Mainak Jas - Instructor at The MGH/HST Martinos Center for Biomedical Imaging