Mahasweta Bhattacharya

About

Passionate AI enthusiast and biomedical engineer, I am dedicated to advancing healthcare through AI/ML. My focus is applying machine learning to clinical data for neurological disorder diagnosis and treatment. As a postdoctoral fellow at Johns Hopkins, I collaborate on AI-based radiation therapy planning. I'm excited about AI's potential in genomics for therapeutics and drug discovery. Committed to revolutionizing healthcare, I envision precision treatments by merging AI and genomics. Let's connect to drive innovation at the intersection of AI and genomics-driven therapeutics. 🧬🤖 #AIinHealthcare #GenomicsInnovation

Employment

• Sanofi Senior Scientist
  2023 - Present
• Johns Hopkins Medicine Postdoctoral Fellow
  2023 - 2023
• University at Buffalo, State University of New York Research Assistant
  2020 - 2023

Education

• University at Buffalo, State University of New York PhD
• University at Buffalo, State University of New York MS
• Maulana Abul Kalam Azad University of Technology, West Bengal

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• A Python package for fast GPU-based proton pencil beam dose calculation
  Journal of Applied Clinical Medical Physics 2025 DOI: 10.1002/acm2.70093
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• Clinical VMAT machine parameter optimization for localized prostate cancer using deep reinforcement learning
  Medical Physics 2024 DOI: 10.1002/mp.17100
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• Rewiring Dynamics of Functional Connectomes during Motor-Skill Learning
  Data Science in Science 2023 DOI: 10.1080/26941899.2023.2260431
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• Rewiring Dynamics of Functional Connectome in Motor Cortex during Motor Skill Learning
  bioRxiv 2022 DOI: 10.1101/2022.07.12.499746
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• Feasibility of combining functional near-infrared spectroscopy with electroencephalography to identify chronic stroke responders to cerebellar transcranial direct current stimulation—a computational modeling and portable neuroimaging methodological study
  The Cerebellum 2021 DOI: 10.1007/s12311-021-01249-4
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• FARCI: Fast and Robust Connectome Inference
  Brain Sciences 2021 DOI: 10.3390/brainsci11121556
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• Resting-State NIRS–EEG in Unresponsive Patients with Acute Brain Injury: A Proof-of-Concept Study
  Neurocritical Care 2021 DOI: 10.1007/s12028-020-00971-x
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• A proof of concept ‘phase zero’ study of neurodevelopment using brain organoid models with Vis/near-infrared spectroscopy and electrophysiology
  Scientific Reports 2020 DOI: 10.1038/s41598-020-77929-8
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• 'Phase Zero' clinical study platform combining broadband Vis/near-infrared spectroscopy and electrophysiology to study human brain organoid models of neurodevelopmental disorders
  bioRxiv 2020 DOI: 10.1101/2020.06.09.143313
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• FARCI: Fast and Robust Connectome Inference
  bioRxiv 2020 DOI: 10.1101/2020.10.07.330175
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