Sergei Laktionov
About Sergei Laktionov
Sergei Laktionov is an Applied Scientist specializing in Computer Vision and Machine Learning, currently working at Onfido in London. He has a strong academic background with degrees in Applied Mathematics, Computer Science, and Advanced Machine Learning, complemented by extensive experience in quantitative research and teaching.
Work at Onfido
Sergei Laktionov is currently employed at Onfido as an Applied Scientist specializing in Computer Vision and Machine Learning. He has been in this role since 2024, contributing to advancements in technology related to identity verification and data analysis. His expertise in machine learning enables him to develop innovative solutions that enhance the company's offerings.
Previous Experience in Machine Learning
Prior to his role at Onfido, Sergei worked at Pinely as a Machine Learning and Quantitative Researcher from 2021 to 2022 for 11 months in Moscow, Russia. He also served as a Quantitative Researcher at REVO Capital, LLC for 4 months in 2019 in St Petersburg, Russia. Additionally, he worked at Synthesis as a Quantitative Researcher from 2022 to 2024 in London, England.
Education and Expertise
Sergei Laktionov holds a Master's degree in Advanced Machine Learning from the Higher School of Economics, where he studied from 2021 to 2022. He also earned a Bachelor's degree in Applied Mathematics and Computer Science from Saint Petersburg State University, completing his studies from 2015 to 2019. Furthermore, he studied Data Science at Yandex School of Data Analysis and Economics and Data Science at New Economic School from 2019 to 2021.
Teaching and Academic Involvement
In addition to his research roles, Sergei has been involved in academia as a Visiting Lecturer at the Higher School of Economics from 2022 to 2024. He also served as a Teaching Assistant at New Economic School from 2021 to 2024, contributing to the education of students in quantitative research and data science.
Internship Experience
Sergei gained early experience in quantitative research as an intern at Alfa-Bank from 2020 to 2021, where he worked for 8 months in Moscow, Russia. This internship provided him with foundational skills in quantitative analysis and research methodologies.