Profile Image

Eric Zimmermann

Master of Science Candidate

I'm a M.Sc. student at the Probabilistic Vision Group (PVG) under the supervision of Prof. Tal Arbel. My current research is focused on Self-Supervised Learning (SSL) using alignment and uniformity constraints over hyperspherical surfaces. In my spare time you can catch me on a hike, playing video games, and drinking obscene amounts of coffee.

You can find my complete CV here.

Research Interests

  • Representation Learning
  • Kernel Alignment Theory
  • Computer vision

Education

  • mcgill logo mini

    M.Sc. (Thesis) in Electrical and Computer Engineering

    McGill University, Montreal, Canada

    GPA: 4.0/4.0

  • mcgill logo mini

    B.Eng, Electrical Engineering, Minor in Software Engineering

    McGill University, Montreal, Canada

    GPA: 3.82/4.0

Experience

  • sama logo mini

    Machine Learning Developer (R&D)

    Sama, Canada

  • cae logo mini

    Electrical Design Engineer

    CAE Inc., Canada


Consensus learning with multi-rater labels for segmenting and detecting new lesions (competition paper)

NICHYPORUK, B., VASILEVSKI, K., HU, A., MYERS-COLET, C., CARDINELL, J., SZETO, J., FALET, J.-P., ZIMMERMANN, E., SCHROETER, J., ARNOLD, D. L., AND ARBEL, T. Consensus learning with multi-rater labels for segmenting and detecting new lesions. Multiple Sclerosis New Lesions Segmentation Challenge, Medical Image Computing and Computer Assisted Interventions (2021). Accepted


2021, made with in pure Bootstrap 4, inspired by Academic Template for Hugo