Yury Gorishniy is a Deep Learning Researcher at Yandex Research with 12 years of experience applying neural networks to practical problems in tabular data—classification, regression, ranking and recommendations—while also exploring computer vision, metric learning and importance sampling. He is first author on influential papers revisiting deep learning for tabular data (NeurIPS 2021) and on embeddings for numerical features (ICML submission), and maintains a popular GitHub repository on tabular deep learning with 300+ stars. Prior to research, he built ML systems and data pipelines at Yandex, improving traffic prediction, POI ranking and recruitment tooling, and led a move to schema-based data processing for better performance. A MIPT-trained MS/BS and ongoing PhD student, he combines rigorous academic grounding with production-grade engineering, and teaches Python to global master's students via HSE/Coursera. An interesting facet: he blends deep theoretical work with hands-on infrastructure improvements, from model design to build-system transitions.
12 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Mathematics and Computer Science, 4.8, Bachelor of Science - BS, Mathematics and Computer Science, 4.8 at Moscow Institute of Physics and Technology (State University) (MIPT)
Contributions:73 pushes, 1 branch in 3 years 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Yury Gorishniy - Deep Learning Researcher at Yandex