Teaching

Participation in teaching courses as invited lecturer

---, Various venues, ---, 2005-2019

I constantly participate as invited lecturer in courses and summer schools organized worldwide. For example, I participated in the thematic school Analysis of Cancer genome (2015) and in the Genopole Summer School on Bioinformatic and Biostatistic tools in medical genomics in 2018. My topics are various, including data visualization, some aspects of machine learning for biomedical applications, mathematical modeling in biology and introductory lectures into systems biology and cancer bioinformatics.

International Curie Course on Computational Systems Biology of Cancer

PhD students, Institut Curie, Paris, France, 2018-2020

I co-organize and give lectures at yearly International Curie Course on Computational Systems Biology of Cancer. In 2018, I gave a short course on application of machine learning for characterizing tumor microenvironment. The 2019 edition of International Curie course on computational biology will be devoted to single-cell data analysis. The 2020 edition of International Curie course will focus on application of machine learning and artificial intelligence in biology of cancer.

Mathematical modeling of biological systems

Pre-doctoral course, Universite Paris, Institute of Technology and Innovation, Paris, France, 2016-2018

In 2016 and 2017 I was a co-organizer and lecturer of 80 hours teaching module “Mathematical Modeling of Biological Systems” as a part of the pre-doctoral training program at PSL-ITI. The course covered a wide range of topics related to application of mathematical modeling (in wide sense) to understand biology. My lectures in the course were devoted to application of machine learning in cancer research. In 2018, I organized a limited edition of this module, with only few lectures.

Omics Data Analysis and Medical Applications

Professional course, Skoltech University, Moscow, Russia, 2015

In July 2015, I was as principal organizer, developer and lecturer of 7-days intensive course Omics Data Analysis and Medical Applications aimed at professional bioinformaticians and PhD students. The course covered a wide range of topics in application and analysis of omics data in various diseases including cancer. Theoretical lectures were accompanied by hands-on sessions.

Computational Systems Biology of Cancer

PhD course, Alma Ata University, Alma Ata, Kazakhstan, 2011

As a part of joint Kazakhstan-France PhD program, I developed and delivered a 40-hours course on Computational Systems Biology of Cancer, covering many aspects of technology, data analysis, machine learning techniques, mathematical modeling of networks in cancer research. The course included approximately 15 hours of intensive hands-on sessions.

Data integration and analysis in cancer research

Master 2 course, Ecole normale superieure, Paris, France, 2009-2018

Starting from 2009, each year I participate in the Systems biology, genomics and bioinformatics master 2 module at ENS, with 3 hours mini-course on data integration in cancer research and systems biology of cancer. I introduce types of data analyzed in cancer research, give examples of multi-omics data analysis, explain, based on real projects, application of some machine learning techniques (such as Independent Component Analysis) to omics data.

Basic introduction into Windows and Microsoft Office tools

Open free course, Krasnoyarsk State Technical University, Krasnoyarsk, Russia, 1998-1999

In 1998-1999 I participated in creation of a free and open to public intensive 2 weeks introductory course on the basic use of Windows operating system and Microsoft Office tools. Various modifications of the course were adapted to students, general public, children (including 8-10 years old).