cv

General Information

Name Mikhail Papkov
Birthday 24th October 1995
Residence Tartu, Estonia
Languages Russian (native), English (fluent), Estonian (intermediate), French, German (beginner)

Higher Education

  • 2019 - now
    PhD
    University of Tartu, Estonia
    • Health Image Analysis
  • 2017 - 2019
    MSc
    University of Tartu, Estonia
    • Computer Science, GPA 4.86/5.00
  • 2013 - 2017
    BSc
    St. Petersburg State Polytechnic University, Russia
    • Technical Physics (Medical Physics and Bioengineering), GPA 4.95/5.00

Experience

  • Aug 2022 - Nov 2022
    Research Intern
    Google Health
    • Improved neural network models for organ contouring in 3D computer tomography images for radiotherapy treatment planning.
  • Oct 2017 - now
    Junior Research Fellow
    University of Tartu
    • Working at the Biomedical Computer Vision Group on industrial collaboration projects in Microscopy Image Analysis (denoising, deconvolution, cell phenotyping, object detection, protein subcellular localization, etc.)
  • Sep 2015 - Aug 2017
    C++ Developer
    MICARD-LANA JSC
    • Developed and put in production automated pediatric electrocardiogram interpretation algorithms for the Cardiometer-MT system.

Teaching

  • 2018 - 2020
    Teaching assistant, University of Tartu
    • Machine Learning MTAT.03.227 (Fall 2018/19, Fall 2019/20)
    • Special Course in Machine Learning MTAT.03.317
      • Deep Generative Models (Spring 2019/2020)
      • Competitive Data Science (Fall 2020/2021)
  • 2021
    Lecturer, Cleveron Academy
    • Machine vision and signal processing RT-034
    • Machine Learning RT-035
    • Artificial Neural Networks RT-033

Grants and Scholarships

  • 2019 - 2023
    PerkinElmer Industrial PhD
    • Creating state-of-the-art computational models to improve the quality of microscopy images.
  • 2017 - 2019
    Dora Plus grant
    • Scholarship for international Masters students studying in Estonia.
  • 2014 - 2017
    Presidential Scholarship
    • Scholarship for outstanding students studying on the higher education program who received only A-grades for the previous two semesters.

Interests

  • Running, cycling, swimming (and other endurance sports)
  • Quizzing (for fun and competitively for >10 years; coaching university teams)