This page is my interactive CV.

Education

[2022 - 2024] Master of Science in Math and Computer Science @ SPbU Thesis: Efficient neural architectures for NP-hard problems and recommender systems [2018 - 2022] Bachelor of Science in Math and Computer Science @ SPbU

Work Experience

Machine Learning Researcher @ PDMI AI lab, led by S. Nikolenko

• [2023] Researching deep learning based simulators for learning recommendation systems @ SBER x PDMI
• [2022] Researching ML-based heuristics for CDCL solvers @ HUAWEI x PDMI

Math Optimization Specialist

• [2023] Optimizing the way how industrial task is feed to MILP solvers @ Zyfra

CNC Integrator

• [2019-2022] Modernization, repairment & developing CNC machines

Machine Learning Teacher

• [2023] Teaching assistant on Deep Learning @ MCS SPbU
• [2023 - ongoing] Teaching assistant on Machine Learning @ DS HSE

Publications

• Neural Click Models for Recommender Systems M. Shirokikh, I. Shenbin, A. Alekseev, A. Volodkevich, A. Vasilev, S. I. Nikolenko, SIGIR2024.
• User Response Modelling In Recommender Systems: A Survey M. Shirokikh, I. Shenbin, A. Alekseev, A. Volodkevich, A. Vasilev, S. I. Nikolenko, accepted by the Journal of Mathematical Sciences, Springer.
• Machine Learning for SAT: Restricted Heuristics and New Graph Representations Mikhail Shirokikh, Ilya Shenbin, Anton Alekseev, Sergey Nikolenko, arXiv preprint.