Бекетов Максим Евгеньевич

Responsibilities

Moving forward

Education

2017

Master's
Moscow Institute of Physics and Technology

2015

Bachelor's
Moscow Institute of Physics and Technology

Professional Interests

Topological data analysis machine learning mathematical statistics Riemannian geometry algebraic topology Differential Geometry dimensionality reduction computational neuroscience

Postgraduate Studies

4th year of study
Approved topic of thesis: Neural network based models for data with non-trivial topology
Academic Supervisor :Янович Юрий Александрович

Courses (2023/2024)

Introduction to Discrete Differential Geometry (Optional course (faculty); Faculty of Computer Science; 2 module)Rus
Past Courses

Conferences

2023
4th Workshop on Topological Methods in Data Analysis (Heidelberg). Presentation: Topologically Autoencoding  Cognitive Maps
Топология, комбинаторика и анализ данных (Воронеж). Presentation: Когомологии пучков и графовые нейросети (Sheaf cohomology and graph neural networks (GNNs), in Russian)
Алгебраическая топология, гиперболическая геометрия и компьютерный анализ данных (Томск). Presentation: Симметричные гиперболические вложения данных в машинном обучении (Symmetric hyperbolic embeddings of data in Machine Learning, in Russian)

2022
The interdisciplinary world of tangling conference (Потсдам). Presentation: Reconstructing knots from point clouds with persistent homology
Международная школа «Торическая топология, комбинаторика и анализ данных» (Санкт-Петербург). Presentation: Топологические дескрипторы и их применения в анализе данных  (Topological descriptors and their usage in data analysis, in Russian)

2016
Integrable Systems and Quantum Symmetries 24 (Прага). Presentation: Quantum-classical duality between the Ruijsenaars-Schneider model and the quantum twisted spin chain: the trigonometric/anisotropic case

Employment history

Scientific translator (Russian-English) – Pleiades Publishing, October 2017 - June 2018

International Baccalaureate Mathematics & Computer Science (Diploma Programme) teacher – The Romanov School, January 2018 - May 2020

Data Scientist (recommender systems, etc.) – App In The Air, June 2018 - February 2019

Python developer (computational geometry) – Archeads, September 2019 - June 2020

11

May

2022

‘I Like to Think that the Solutions We Find Can Help People in the Future’

Innopolis University has announced the results of Global Al Challenge, an international AI industry online hackathon in which teams of developers compete to create new materials using artificial intelligence. The DrugANNs team, which included students from the HSE University Faculty of Computer Science, took third place.

Maxim Beketov