Shreyasi Pathak

Postdoctoral Researcher at University of Twente

The Hague, South Holland, Netherlands
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Summary

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Senior
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Top School
Shreyasi Pathak is a postdoctoral researcher and PhD-trained computer scientist with 11 years of experience applying deep learning to clinical problems, currently focused on explainable AI for diagnostic decisions at the University of Twente. Her work bridges academic research and hospital practice through collaborations with Ziekenhuis Groep Twente and Medisch Spectrum Twente, with prior projects including automatic sleep-stage prediction and structured radiology-report extraction. She has a strong experimental background from internships at CERN and IIT Kharagpur and a consistent trajectory from bachelor’s in IT to a PhD in Computer Science. Known for translating complex models into clinically actionable tools, she brings both hands-on model development and an appreciation for real-world healthcare constraints.
code10 years of coding experience
job3 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Twente
bookBachelor’s Degree, Information Technology, Bachelor’s Degree, Information Technology at National Institute of Technology Durgapur
bookScience, Science at Hemsheela Model school, Durgapur, West Bengal, India
bookHigh School, High School at Carmel Convent High School, Durgapur
languagesEnglish, Bengali, Hindi, Dutch
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Github Skills (5)

breast-cancer7
quality-assurance5
radiology4
data-quality3
data-validation2

Programming languages (3)

HTMLJupyter NotebookPython

Github contributions (5)

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Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance
Contributions:2 releases, 59 commits, 2 PRs in 9 months
data-validationchecklistradiology-reportsreportsdata-quality
ShreyasiPathak/STQS

Mar 2021 - Sep 2021

Contributions:25 commits, 28 pushes, 1 branch in 6 months
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