Mikhail Lazarev
- Research Fellow:Faculty of Computer Science / AI and Digital Science Institute / Laboratory of Methods for Big Data Analysis
- Assistant Professor:Faculty of Computer Science / Big Data and Information Retrieval School
- Mikhail Lazarev has been at HSE University since 2021.
Education and Degrees
- 2019
PhD
EPFL - 2013
Master's in Applied Mathematics and Applied Physics
Moscow Institute of Physics and Technology - 2011
Bachelor's in Applied Mathematics and Applied Physics
Moscow Institute of Physics and Technology
Courses (2023/2024)
- Algorithms and Data Structures (Bachelor’s programme; Faculty of Computer Science; 1 year, 2, 4 module)Rus
- Deep Learning Methods in Natural Sciences (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Rus
- Mathematical Methods for Data Analysis (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Eng
- Past Courses
Publications7
- Article M. Lazarev. Numerical study of Valence Band states evolution in AlxGa1-xAs [111] QDs systems // PeerJ Materials Science (США). 2024. Vol. 6. No. e32
- Article Lazarev M., Al-Maeeni A. R. Review on automated 2D material design // 2D Materials. 2024 doi (in press)
- Article M. Lazarev, Rudra A., Kapon E. Physical origins of optical anisotropy in quantum confined-semiconductors: the roles of valence band mixing, transition broadening and state filling // Journal of Applied Physics. 2023. Vol. 133. No. 9. Article 094301. doi
- Article Popov S., Lazarev M., Belavin V., Derkach D., Ustyuzhanin A. Symbolic expression generation via Variational Auto-Encoder // PeerJ Computer Science. 2023. Vol. 9. Article e1241. doi
- Article Lazarev M. Tailored-Potential Semiconductor Quantum Nanostructures Grown in Inverted Pyramids // Infoscience EPFL. 2019. P. 1-163. doi
- Article Lazarev M. Parabolic Tailored-Potential Quantum-Wires Grown in Inverted Pyramids // Journal of Crystal Growth. 2015. Vol. 414. P. 196- 199. doi
- Article Лазарев М. В. Особенности формирования запрещённых зон в одномерных фотонных кристаллах большого контраста // Журнал радиоэлектроники. 2011. № N 9. С. 1-15.
Employment history
2021 - present
Researcher
HSE University
Faculty of Computer Science
Laboratory for Big Data Analysis Methods
2013 - 2019
PhD student, Researcher at the Laboratory of Physics of Nanostructures LPN EPFL
2013 - 2017
Assistant Professor at SB EPFL Faculty (General Physics Course)
2011 - 2013
Laboratory assistant in the theoretical department of ITPE RAS
Information
Total-experience: 8 years
Scientific and teaching experience: 8 years
Teaching experience: 5 years
From Neurobiology to a Collider: HSE Researchers Present their Discoveries at ZIL.Nauka Festival
Which brain lobes should we stimulate to improve our short-term memory? What is ‘warm radiation’ and why it is so important that people help each other? Which manufacturing systems will artificial intelligence master the fastest? Scholars from HSE University offered their scientific opinions on all these and more at the ZIL.Nauka festival.
Summer School on Machine Learning in High Energy Physics Took Place
On July 15-30, the Seventh International School on Machine Learning in High Energy Physics (MLHEP) organised by the Laboratory of Methods for Big Data Analysis (LAMBDA), Yandex School of Data Analysis and EPFL (Switzerland) took place.