Yury Gorishniy
Deep Learning Researcher at Yandex
Moscow, Moscow City, Russia
Summary
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Rockstar🎓
Top SchoolYury 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)Additional Education, Computer Engineering, Additional Education, Computer Engineering at Intel iLabAdditional Education, Computer Science, 4.7, Additional Education, Computer Science, 4.7 at Yandex School of Data AnalysisHigh School Diploma, 5.0, High School Diploma, 5.0 at Physics and Mathematics Lyceum №40
Russian, English
Github Skills (200)
similarity-search10
parallel10
python10
bash10
language-server-protocol10
package-manager-tool10
hyperparameter-optimization10
resolver10
deep-learning10
gpu10
tabular10
linter10
clustering10
optimization10
rust-lang10
Programming languages (11)
Github contributions (5)
Yura52/delu
May 2020 - Nov 2022
Deep Learning Utilities for PyTorch users (old name: Zero)
Contributions:16 releases, 337 commits, 233 pushes in 2 years 7 months
deep-learningpytorchpythonartificial-intelligenceneural-networks
yandex-research/rtdl-num-embeddings
Mar 2022 - Oct 2022
(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
Contributions:3 releases, 9 commits, 70 pushes in 6 months
deep-learningpythonmachine-learningpytorchneural-networks
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