Summary
Ananya Choudhury is a clinical data science researcher and Postdoctoral Researcher at Maastricht University with over eight years of experience applying machine learning, healthcare data engineering, and medical image analysis to clinical problems. She completed a PhD in Clinical Data Science at Maastricht and has blended academic research with applied roles at Maastro, MD Anderson (visiting), and Clinical Data Science Maastricht, building reproducible pipelines and working with standards like DICOM, OpenEHR, and HL7. Her background spans end-to-end projects from medical image processing to interoperable healthcare tooling, informed by earlier R&D on clinical data standards. Known for turning complex clinical requirements into deployable data products, she brings both rigorous research methodology and production-focused engineering. Based in Maastricht, she pairs international collaboration experience with teaching and mentorship from her prior academic roles. A detail that sets her apart is the sustained bridge she maintains between hospital-facing research and standards-driven engineering, enabling real-world clinical impact.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Clinical Data Science, Doctor of Philosophy - PhD Clinical Data Science at Maastricht University
Master of Technology (M.Tech.) Computer Science and Engineering, Master of Technology (M.Tech.) Computer Science and Engineering at National Institute of Technology Silchar
Bachelor of Technology (B.Tech.) Information Technology, Bachelor of Technology (B.Tech.) Information Technology at Assam (Central) University
English, Hindi, Bengali, Assamese