Anton Sugolov
University of Toronto
Toronto, ON
Toronto, ON
About
I study Mathematics at the University of Toronto. My research interests are in probability, optimal transport, and theoretical explanations for phenomena in deep learning. Let’s keep in touch!
Education
- MSc. Mathematics, Sep. 2024 to Sep. 2025 (exp.)
- BSc. Applied Mathematics and Statistics: Sep. 2020 to June 2024
Publications
Sugolov, A.,
Emmenegger, E.,
Sun, L.
Paterson, A.
Statistical Learning of Large-Scale Genetic Data: How to Run a Genome-Wide Association Study of Gene-Expression Data Using the 1000 Genomes Project Data
Statistical Learning of Large-Scale Genetic Data: How to Run a Genome-Wide Association Study of Gene-Expression Data Using the 1000 Genomes Project Data
In
Statistics in Biosciences Communications,
2023.
Cite Statistical Learning of Large-Scale Genetic Data: How to Run a Genome-Wide Association Study of Gene-Expression Data Using the 1000 Genomes Project Data
@article{Sugolov2023,
doi = {10.1007/s12561-023-09375-9},
url = {https://doi.org/10.1007/s12561-023-09375-9},
year = {2023},
month = jul,
publisher = {Springer Science and Business Media {LLC}},
author = {Anton Sugolov and Eric Emmenegger and Andrew D. Paterson and Lei Sun},
title = {Statistical Learning of Large-Scale Genetic Data: How to Run a Genome-Wide Association Study of Gene-Expression Data Using the 1000 Genomes Project Data},
journal = {Statistics in Biosciences}
}