Anton Zhiyanov
- Lecturer: Faculty of Biology and Biotechnology / Joint Department with RAS Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry
- Research Fellow: Faculty of Biology and Biotechnology / Laboratory of Molecular Physiology
- Anton Zhiyanov has been at HSE University since 2020.
- Language Proficiency
- English
- Contacts
- Phone:
12345 - Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S837
- ORCID: 0000-0002-2866-9692
- ResearcherID: AAV-3763-2021
- Google Scholar
- Supervisor
- A. Tonevitsky
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Education
Lomonosov Moscow State University
Awards and Accomplishments
- Best Teacher — 2022–2023
- Winner of the HSE University Best Russian Research Paper Competition – 2024, 2022
Courses (2025/2026)
- Bioinformatics (Bachelor field of study Biology; 2 year, 3, 4 module)Rus
- Bioinformatics (Bachelor field of study Biology; 2 year, 3, 4 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor field of study Biology; 2 year, 1, 2 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor field of study Biology; 2 year, 1, 2 module)Rus
- Past Courses
Courses (2024/2025)
- Bioinformatics (Bachelor’s programme; Faculty of Biology and Biotechnology field of study Biology; 2 year, 3, 4 module)Rus
- Bioinformatics (Bachelor’s programme; Faculty of Biology and Biotechnology field of study Biology; 2 year, 3, 4 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Biology and Biotechnology field of study Biology; 2 year, 1, 2 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Biology and Biotechnology field of study Biology; 2 year, 1, 2 module)Rus
Courses (2023/2024)
- Basic Statistics (Mago-Lego; 1, 2 module)Rus
- Bioinformatics (Bachelor’s programme; Faculty of Biology and Biotechnology field of study Biology, field of study Biology; 2 year, 3, 4 module)Rus
- Theory of Probability and Mathematical Statistics (Bachelor’s programme; Faculty of Biology and Biotechnology field of study Biology; 2 year, 1, 2 module)Rus
Courses (2022/2023)
- Bioinformatics (Bachelor’s programme; Faculty of Biology and Biotechnology field of study Biology; 2 year, 3, 4 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Biology and Biotechnology field of study Biology; 2 year, 1, 2 module)Rus
- Statistics for data analysis (Mago-Lego; 2 module)Rus
Courses (2021/2022)
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Biology and Biotechnology field of study Biology; 3 year, 2, 3 module)Rus
- Probability Theory and Mathematical Statistics (Bachelor’s programme; Faculty of Biology and Biotechnology field of study Biology; 2 year, 1, 2 module)Rus
Genetic Prediction of Cancer Recurrence: Scientists Verify Reliability of Computer Models
In biomedical research, machine learning algorithms are often used to analyse data—for instance, to predict cancer recurrence. However, it is not always clear whether these algorithms are detecting meaningful patterns or merely fitting random noise in the data. Scientists from HSE University, IBCh RAS, and Moscow State University have developed a test that makes it possible to determine this distinction. It could become an important tool for verifying the reliability of algorithms in medicine and biology. The study has been published on arXiv.
HSE University Scientists Win 2024 Best Russian Research Paper Competition
Leading scientists from HSE University have won the Scientific Category of the 2024 Best Russian-Language Scientific and Popular Science Works Competition by HSE University employees in the "Biology and Medicine" section for their research on predicting the effectiveness of chemotherapy with gemcitabine in patients with bladder cancer.
Russian Researchers Assess the Power of T-Cell Immune Response to Omicron BA.1 and BA.2
Scholars from HSE University and the RAS Institute of Bioorganic Chemistry have demonstrated the efficiency of T-cell immune response against the Omicron variant of SARS-CoV-2. In approximately 90% of vaccinated Europeans, T-cell immunity was as effective against Omicron as with other variants. The results of the study were published in PeerJ.