Farnood Salehi
Research Scientist at Disney Research
Switzerland
Summary
👤
Senior🎓
Top SchoolFarnood Salehi is a research scientist based in Switzerland with nine years of experience building fast, scalable machine learning algorithms and probabilistic models for large datasets. He holds a PhD in Computer Science from EPFL and has progressed from PhD researcher to associate and now research scientist roles at Disney Research, applying probabilistic reasoning to improve algorithmic accuracy and uncertainty quantification. His work blends theory and application, including a probabilistic extension of embedding models for link prediction developed during an internship with Walt Disney Imagineering. Farnood is comfortable taking ML ideas from mathematical foundations to production-relevant systems, with a particular interest in scalable inference and uncertainty-aware predictions. Colleagues describe him as rigorous yet pragmatic—able to manage complex datasets while keeping compute and latency constraints in mind. He brings a strong academic pedigree and real-world research impact to industrial ML problems.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Ecole polytechnique fédérale de LausanneBachelor's degree, Electrical, Electronics and Communications Engineering, 18.92/20, Bachelor's degree, Electrical, Electronics and Communications Engineering, 18.92/20 at Sharif University of Technology
Stackoverflow
1reputation
0reached
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Github Skills (2)
regularization6
robustness5
Programming languages (2)
Github contributions (5)
F-Salehi/CURE_robustness
May 2019 - Sep 2019
Implemented CURE algorithm from robustness via curvature regularization and vice versa
Contributions:41 commits, 2 pushes, 1 comment in 3 months
robustnessversacurvatureregularizationcure
F-Salehi/SparsDT
Feb 2018 - Jun 2019
Contributions:13 pushes, 1 branch in 1 year 4 months
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