Oleg Vlasovets
Data Scientist / Guitarist
Currently studying bacteria in human gut.
About Me
I’m a data scientist who is fascinated by microbes and their impact on human health. I develop methods for describing this link and build open-source software that assists researchers all over the world in performing cutting-edge microbiome data analysis.
Core competences:
Software engineering (Python, Docker, Git);
Machine learning (Scikit-learn, Numpy, PyTorch);
High performance computing (Shell, Slurm);
Visualization (Plotly, Bokeh, JavaScript);
Statistics (R, SciPy, Stan);
Microbiome data analysis (QIIME2, Pandas).
Experience
Working on the master thesis: “Unsupervised anomaly detection in merchant vessel data”
Developing assignments, exams and giving seminars:
- Advanced topics in UI
- Methods of data mining
- Machine learning
Volunteering
- Ambassador of EIT Digital Academy (2019-2021).
Developing assignments, exams and giving seminars:
- Data Modeling
- Data-Intensive Systems
Core responsibilities included:
- Technical Sales
- Prototyping for Cloud Service Providers clients
- Holding workshops on using IBM Cloud
Education
2021 - now
PhD Candidate in Data Science
Helmholtz Munich and LMU, Germany
Causal estimation and simulation methods for gut microbiome networks
with applications in epidemiology and health.
2018 - 2020
Master in Machine Learning and Big Data Analytics
Aalto University, Finland
Double-degree programm with focus on:
- Bayesian Data Analysis.
- Kernel Methods.
- Data Visualization.
2018 - 2020
Master in Data Science in Engineering
Eindhoven University of Technology, the Netherlands
Double-degree programm with focus on:
- Advanced Algorithms.
- Statistical Learning Theory.
- Database Technology.
2014 - 2018
Bachelor of Science in Business Informatics
National Research University Higher School of Economics
GPA:
7.98 out of 10
Major
- 80% of Computer Science courses
- 20% of Business and Economics courses
Minor
- Data Mining
Extracurricular Activities
- The Chief Executive Officer of HSE Sport Club.
- The Chairman of the HSE Student Campus Council.
Projects
Population study
Causality
Network analysis
Food allergy and non-IgE intolerance associations in KORA.
QIIME2
Open-source
Optimization theory
Software for solving high-dimensional statistics problems.
GANs
PyTorch
Simulation
Generative modelling of microbial data.
Get in Touch
My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!