Kaushik Raj
Data Scientist II - Systems Biology
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolKaushik Raj is a Data Scientist II specializing in systems biology who brings a decade of experience blending machine learning, computational modeling, and high-throughput experimentation to metabolic engineering and synthetic biology. With a PhD from the University of Toronto and hands-on roles from doctoral research to industry positions at Genomatica and now Geno, he translates complex biological designs into robust, automatable workflows for strain and circuit optimization. He has taught graduate and undergraduate courses on biochemical network modeling and process dynamics, underscoring both deep theoretical grounding and practical pedagogy. Kaushik’s work sits at the interface of predictive models and lab automation, improving synthetic genetic circuit performance using data-driven design loops. Colleagues value his ability to move projects from hypothesis and models into reproducible experimental pipelines—an uncommon blend of coding, modelling, and wet-lab insight for a data scientist.
9 years of coding experience
3 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceDoctor of Philosophy (Ph.D.), Chemical Engineering and Applied Chemistry, Doctor of Philosophy (Ph.D.), Chemical Engineering and Applied Chemistry at University of Toronto
English, Tamil, Hindi, French
Github Skills (7)
python7
six7
machine-learning6
points6
data-science5
optimization3
choices2
Programming languages (4)
Github contributions (5)
kraj593/impact
Sep 2017 - May 2021
The impact framework is designed to help scientists extract insight from experimental data in a transparent and reproducible fashion.
Contributions:20 PRs, 73 pushes, 19 branches in 3 years 8 months
scientistspythontransparentdata-sciencemachine-learning
kraj593/mcpecaso
Oct 2019 - Aug 2020
A two stage optimization framework that finds optimal operating points to maximize desired process variables
Contributions:4 PRs, 45 pushes, 2 branches in 10 months
optimization-frameworkoptimizationmaximizeoperatingoptimal
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