Ali Madani
Staff Machine Learning Scientist at Recursion
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolAli Madani is a Staff Machine Learning Scientist in Old Toronto with a decade of experience applying Causal AI and agentic AI to accelerate drug discovery. He has progressed rapidly through research and leadership roles at Cyclica and Recursion, blending hands-on modeling with team-building and product-focused deployment. His academic background includes advanced training in machine learning (PhD, University of Toronto) and dual masters in mathematical and computational modeling from the University of Waterloo, enabling a strong quantitative approach to biological problems. Ali has also contributed to the field as an editor for AI in cancer diagnosis and as an educator mentoring the next generation of ML practitioners. He is skilled at turning causal insights into actionable pipelines that shorten lead discovery cycles, and he often bridges the gap between novel research and pragmatic, production-ready solutions. Colleagues describe him as a scientist who combines rigorous theory with an uncommon focus on practical impact in drug development.
10 years of coding experience
5 years of employment as a software developer
PhD Machine Learning, PhD Machine Learning at University of TorontoMaster of Mathematics Mathematical Modeling, Master of Mathematics Mathematical Modeling at University of Waterloo
Persian, English
Github Skills (15)
clustering7
datasets3
r-package2
regularization2
genomics1
redundancy1
scale1
similarity1
gene-expression1
multi-task-learning1
relevance1
minimum1
bioinformatics1
large-scale1
feature-selection1
Programming languages (4)
Github contributions (5)
bhklab/CREAM
Jul 2017 - Feb 2021
Contributions:41 commits, 31 pushes, 8 comments in 3 years 7 months
clustersregionsmethodclusteringcores
alimadani/ml_in_practice
May 2020 - Nov 2020
Contributions:25 commits, 24 pushes, 1 branch in 6 months
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