Data Science

Radoslav Neychev

Harbour.Space AI Track Director, Girafe-ai founder

Faculty Profile

Radoslav Neychev is a data scientist with focus on Deep Learning and Reinforcement Learning techniques. He has worked on variety of research (CERN LHCb, MIPT Machine Intelligence Lab, CC RAS) and industrial projects (Yandex, RaiffeisenBank) in different domains vary from particle identification problem to fraudulent transactions detection.

Radoslav graduated from Moscow Institute of Physics and Technology, majoring in Applied Mathematics and Machine Learning. Radoslav is reading lectures and organising practical classes at Russian top-tier universities, tech companies and summer schools.

Experience

Jun 2024 - Present
Head od ML Development
Yandex AI Lab
Aug 2023 - Present
Academic Director of AI/ML track and Visiting Lecturer
Harbour.Space
Jan 2019 – Present | Moscow, Russia
Head of Machine Learning Course
MIPT
Jan 2023 - Jun 2024
Senior Research Engineer
Machine Intelligence Lab, Yandex
Jul 2019 - Aug 2023
Visiting Lecturer
Harbour.Space
Oct 2018 – Jun 2019 | Moscow, Russia
Senior Quantitative Analysis Officer
Raiffeisen Bank Russia
Jun 2018 – Dec 2020| Moscow, Russia
Machine Learning Instructor
BigDataTeam
Sep 2017 – Dec 2018| Moscow, Russia
Computer Science Teaching Assistant
Moscow Institute of Physics and Technology
Nov 2017 – Oct 2018 | Moscow, Russia
Research Scientist
Laboratory of Machine Intelligence, MIPT
Apr 2018 – Jul 2018 | Moscow, Russia
Senior Data Scientist
Cognive
Jun 2016 – Apr 2018 | Moscow, Russia
Research Engineer
Yandex
Jun 2016 – Apr 2018 | Geneva, Switzerland
Research Engineer
CERN

Education

Aug 2018 – Present
Ph.D. in Computer Science
Moscow Institute of Physics and Technology
2016–2018
Master's Degree in Machine Learning, Data Analysis, AI
Yandex School of Data Analysis
2016–2018
Master's Degree in Computer Science
Moscow Institute of Physics and Technology

Honors & Awards

Winner of the 58th MIPT Scientific Conference (2015)
State Academic Scholarship for Special Achievements in Studies (2015-2018)
Charitable Foundation for the Development of Innovation Education Scholarship (2014)

Publications

2018
Machine-Learning-Based Global Particle Identification Algorithms at the LHCb Experiment
Journal of Physics: Conference Series
2017
Multicriterial LHCb Streams Optimization
9th Computing Workshop at CERN
2017
LHCb Trigger Streams Optimization
Journal of Physics: Conference Series
2016
Robust Selection of Multicollinear Features in Forecasting
Industrial Laboratory. Diagnostics of Materials, Vol.82, N.3
2016
Multimodel Forecasting of Multiscale Time Series in Internet of Things
In Proceedings of 11th International Conference on Intelligent Data Processing: Theory and Applications
2015
Constructing Robust Forecasting Model in Case of Multicollinear Features
In Proceedings of 58th MIPT Scientific Conference

Courses by Radoslav

Data Science

Modern Deep Learning

02 Feb - 20 Feb 2026

Barcelona

Data Science

Deep Learning in Applications (2024)

04 Feb - 21 Feb 2025

Barcelona

Data Science

Master's Machine Learning (upcoming)

13 Jan - 31 Jan 2025

Barcelona

Data Science

Capstone Project Bootcamp 2.0

08 July - 26 July 2024

Bangkok

Data Science

Capstone Project Bootcamp (2023)

19 Feb - 08 Mar 2024

Barcelona

Data Science

Master's Machine Learning (2023)

31 Jan - 16 Feb 2024

Barcelona

Data Science

Capstone Project Bootcamp (2023)

04 Dec - 22 Dec 2023

Online

Data Science

Deep Learning in Applications (2022)

10 Apr - 28 Apr 2023

Barcelona

Data Science

Master's Machine Learning (2022)

09 Jan - 27 Jan 2023

Online

Data Science

Deep Learning in Applications (2021)

13 June - 01 July 2022

Online

Data Science

Master's Machine Learning (2021)

02 May - 20 May 2022

Barcelona

Data Science

Introduction to Machine Learning (2021)

21 Mar - 08 Apr 2022

Bangkok

Data Science

Introduction to Machine Learning (2021)

31 Jan - 18 Feb 2022

Online

Data Science

Python for Data Scientists

08 Nov - 26 Nov 2021

Online

Data Science

Math Refresher for Masters

18 Oct - 29 Oct 2021

Barcelona

Data Science

Deep Learning in Applications (2020)

14 June - 02 July 2021

Online

Data Science

Master's Machine Learning (2020)

15 Mar - 02 Apr 2021

Online

Data Science

Deep Learning in Applications (2019)

08 June - 26 June 2020

Barcelona

Data Science

Machine Learning

17 Feb - 07 Mar 2020

Barcelona

Data Science

Deep Learning in Applications (2018)

08 July - 26 July 2019

Barcelona

the university of the future

We believe the future is bright if you make it so.

Explore Harbour.Space

Faq