Louis-francois Arsenault
Data Science Advisor
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolLouis-francois Arsenault is a Data Science Advisor with nine years of industry experience building production-grade machine learning systems and extracting high-value signals from high-volume data. He blends deep academic training—a PhD in physics and postdoctoral research in quantum materials—with practical software engineering and machine learning R&D, having translated methods from many-body physics into data-driven tools. Currently leading data science at SymetryML and advising at Gemsen, he has a track record of moving research ideas into interdisciplinary collaborations and commercial applications. His background in computationally hard quantum problems gives him a distinctive perspective on approaching intractable inference and representation challenges in real-world datasets. Based in New York, he pairs rigorous quantitative modeling with business-focused BI experience from AdTheorent to deliver actionable insights at scale.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at Université de Sherbrookemaster of applied science Engineering physics, master of applied science Engineering physics at Polytechnique MontréalMaster of Science (M.Sc.) Physics, Master of Science (M.Sc.) Physics at Rutgers University
French, English
Github Skills (18)
autoencoder9
unsupervised-learning8
outliers8
outlier-detection7
python6
novelty-detection6
anomaly-detection6
deep-learning5
machine-learning5
data-mining5
data-science4
fraud-detection4
data-analysis4
scalable3
feature-selection3
Programming languages (1)
Github contributions (5)
L-F-A/Pade
Feb 2017 - Oct 2018
Contributions:14 commits, 11 pushes, 1 branch in 1 year 7 months
L-F-A/Exact-Diagonalization-Anderson-impurity-model
Apr 2017 - May 2017
Contributions:41 commits, 40 pushes, 1 branch in 20 days
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