Alex Pashevich is a Research Lead at RBC Borealis with 11 years of experience translating cutting‑edge machine learning research into enterprise-scale financial products. He has led development of AI-driven pricing models and deep‑learning fraud detection systems, co-authoring patents and peer‑reviewed papers while mentoring research teams through end-to-end model deployment. His PhD work produced the Episodic Transformer—an influential full‑history transformer agent for embodied vision-and-language navigation—and advanced sim-to-real transfer for robotics. A proven bridge between academia and industry, he co-founded Vancouver AI Connect to grow a 300+ member research‑industry community in Vancouver. Alex combines rigorous theory from top European and Russian institutions with pragmatic engineering that delivers measurable business impact in high-stakes finance. He often pairs novel model architectures with production optimizations (e.g., training and data‑loading efficiency) to accelerate real-world adoption.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université Grenoble Alpes
Bachelor's degree, Applied Mathematics and Physics, 4.5/5.0 (top ~10%), Bachelor's degree, Applied Mathematics and Physics, 4.5/5.0 (top ~10%) at Moscow Institute of Physics and Technology (State University) (MIPT)
Master's degree, Computer Science, 16.47/20.0 (top 2%, summa cum laude), Master's degree, Computer Science, 16.47/20.0 (top 2%, summa cum laude) at Institut polytechnique de Grenoble
Contributions:2 pushes, 1 branch in 4 years 6 months
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Alex Pashevich - Research Lead at Vancouver AI Connect