Summary
Vlad Drobinin is a Senior Data Scientist with a decade of experience translating complex data into actionable insights using statistical learning and reproducible workflows. He combines a strong research background—a PhD in Medical Neuroscience—with hands-on expertise in Databricks/Spark, Scala, R (tidymodels, ggplot2) and Python (scikit-learn, AutoGluon) to build robust data pipelines and production-ready models. Vlad excels at communicating results to broad audiences through clear visualizations and version-controlled analyses, bridging research rigor with pragmatic engineering. Based in Niagara Falls, Ontario, he brings a curiosity-driven approach informed by academic research and sharpened by practical ML tooling. Outside of work he channels visual thinking into photography and hones pattern recognition through trivia, hiking, and meditation.
10 years of coding experience
Bachelor of Science - BSc, Psychology Neuroscience & Behaviour, Bachelor of Science - BSc, Psychology Neuroscience & Behaviour at McMaster University
Doctor of Philosophy - PhD, Medical Neuroscience, Doctor of Philosophy - PhD, Medical Neuroscience at Dalhousie University
English, Russian