Eugene Vorontsov
Staff AI Scientist at Tempus AI
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolEugene Vorontsov is a Staff AI Scientist based in Montreal with nine years of experience at the intersection of fundamental ML research and medical imaging applications. He holds a PhD-track background in Computer Software Engineering and has transitioned academic expertise into production-focused roles across research labs and industry, including internships at Microsoft Research and NVIDIA and senior scientist roles at Paige and Tempus AI. His work spans deep learning for medical image segmentation, long-range dependency modeling in recurrent networks, and translational projects collaborating with clinicians and imaging companies. Known for moving ideas from prototypes to clinical-focused products, he combines rigorous research instincts with hands-on engineering to deliver impactful models in healthcare. An earlier career mix of microscopy, cell biology, and medical robotics informs his practical understanding of clinical workflows beyond pure algorithmics.
9 years of coding experience
6 years of employment as a software developer
B.A.Sc. Eng. Sci., Engineering Science; major in Biomedical Engineering, B.A.Sc. Eng. Sci., Engineering Science; major in Biomedical Engineering at University of TorontoPhD (direct transfer from masters), Computer Software Engineering, PhD (direct transfer from masters), Computer Software Engineering at Ecole Polytechnique de Montreal
Github Skills (17)
python10
preprocessing9
machine-learning9
gpu9
neural-network9
deep-learning9
tensorboard9
gpu-acceleration8
data-loading8
numpy8
tensor8
visualization8
pytorch8
autograd7
chainer6
Programming languages (2)
Github contributions (5)
veugene/lits-challenge-scoring
Nov 2017 - Jul 2021
Contributions:21 pushes, 3 branches in 3 years 8 months
veugene/fcn_maker
Jan 2017 - Feb 2021
Tools for building fully convolutional networks (FCN), simply.
Contributions:143 commits, 3 PRs, 28 pushes in 4 years 2 months
fcndeep-learningconvolutionalconvolutional-networksfully-convolutional-networks
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