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Email: mikhil.startsev at tum.de

Mikhail Startsev, PhD

Research Assistant

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Biography

Mikhail Startsev was an intern in Harvard AI Lab from Nov. 2019 to Jan. 2020. He received the Diplom degree in computational mathematics and informatics from the Lomonosov Moscow State University (LMSU), Russia, in 2015, where he was a member of the Graphics and Media Lab. After completing his Ph.D. degree with the Chair of Human–Machine Communication, Department of Electrical and Computer Engineering, Technical University of Munich (TUM), Germany, as a part of an International Junior Research Group “Visual Efficient Sensing for the Perception-Action Loop” (VESPA), Mikhail started working on medical imaging analysis as a Machine Learning Engineer first at Brainlab, then at SnkeOS (daughter-company of Brainlab focused on creating a platform for healthcare technology). His researches include human visual system, with an emphasis on the eye movements, and computer vision, in particular for medical imaging.

Education

  1. 2019-2019

    Research Assistant

    Schepens Eye Research Institute, Massachusetts Eye and Ear, Harvard Medical School
  2. 2019

    PhD in Electrical and Computer Engineering

    Technical University of Munich

Professional Appointments

  1. 2021-Present
    Machine Learning Engineer, Team Lead
    SnkeOS, Munich, Germany
  2. 2020-2021
    Machine Learning Engineer
    Brainlab/SnkeOS, Munich, Germany
  3. 2013-2015
    Software Developer
    Yandex, Moscow, Russia

Awards

  • 2019
    Grand Challenge “Saliency4ASD: Visual Attention Modeling for Autism Spectrum Disorder” Winner Award
    IEEE ICME 2019
  • 2017
    Grand Challenge “Salient360!: Visual Attention Modeling for 360-Degree Images” Award
    IEEE ICME 2017