Kyle Lukaszek
Summary
I'm Kyle and my primary interests are machine learning, deep learning, graphics, and math.
I'm currently working towards my M.Sc. in Computer Science at the University of Guelph, researching efficient and explainable learning methods for high-dimensional inverse problems such as spectral reconstruction, as well as how to better model human vision for HCI research.
I have completed my M.Sc. coursework and am now actively seeking interesting research internship opportunities in Machine Learning, Graphics, Modelling, or Optimization.
Please feel free to check out my personal projects and work!
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Achievements
Jane Street Applied ML Puzzle
"Puzzle"
Jane Street Applied ML Puzzle
"Dropped a Neural Net"
Publications
Seeing Your Screen Outside: Surround Effects on Brightness Discrimination
GI '26: Graphics Interface, Waterloo, ON, Canada
Modelling The Effects of Bright Environments on Colour Perception
GI '24: Graphics Interface, Halifax, NS, Canada
Education
M.Sc. Computer Science
University of Guelph
Expected: May 2025 – June 2027
Supervised by Dr. Denis Nikitenko and Dr. David Flatla. Research focus on perceptual colour science and inverse problems.
Coursework
Honours Bachelor of Computing
University of Guelph
Graduated: September 2025
Area of Application in Mathematics. Dean's List 2023 & 2024. Research Assistant under Dr. Denis Nikitenko and Dr. David Flatla.