General Information

Full Name Mithunjha Anandakumar
Date of Birth 5th January 1998
Languages English, Tamil, Sinhala


  • 2018 - 2022
    BSc. Engineering (Hons) in Biomedical Engineering
    University of Moratuwa, Sri Lanka
    • First Class Honours with 3.98 CGPA (out of 4.2)
    • Included in Dean’s Honors List in for 7 semesters
    • Notable Coursework
      • Bio signal processing, Medical image processing, Biotechnology, Advances in Machine vision, Data Structures & algorithms, Fundamentals of computer organization & design, Applied statistic, and Neural networks & fuzzy logic


  • Jul 2022 - present
    Post Baccalaureate Fellow
    Faculty of Arts and Sciences, Harvard University
  • Sep 2021 - Jul 2022
    Remote Undergraduate Researcher
    Wadduwage Lab, Center for Advanced Imaging, Harvard University
  • Oct 2020 - Mar 2021
    Remote Undergraduate Researcher
    Advanced Research Center, Zone 24x7 (pvt) Ltd
  • Jul 2019
    Research Intern
    Centre for Biomedical Innovation, University of Moratuwa

Honors and Awards

  • International Awards and Honors
    • Second Runners up at Video and Image Processing Cup (2021) at IEEE ICIP conference
    • IEEE SMC Winners at BR41N.IO Hackathon (2020) at IEEE SMC conference
  • National Awards and Honors
    • Second Runners-up of Data Storm v2.0 (2021) Sri Lanka's premier advanced analytics competition
    • Champions of Brainstorm (2019), Sri Lanka's premier biomedical engineering design competition
    • Champions of Mora ventures 5.0 (2019), organized by University of Moratuwa
    • Champions of SLIoT hackathon (2019), Sri Lanka's premier IoT design competition
    • Runners-up of HackX Start-up competition (2019) organized by University of Kelaniya
    • Runners-up of IEEE innovation nation (2019) organized by IEEE Sri lankan section


  • Machine Learning* by Stanford University
  • AI for Medicine*, a 3-course specialization by
  • Tensorflow in practice*, a 4-course specialization by
  • Neural Networks and Deep Learning* by
  • Introduction to genomics technologies* by Johns Hopkins University

Academic Interests

  • AI for Healthcare.
    • Deep Learning, Machine Learning, Computer Vision.
    • Medical Image processing, Signal Processing, Bioinformatics.