Statistical Modelling & Machine Learning
Build informative features, explore statistical structure and compare models, with attention to interpretability, evaluation and the limits of the data.
Explore clinical data analysisApplied Mathematics · Machine Learning · Scientific Computing
Hi, I’m Fedor.
I work on statistical modelling, machine learning and numerical simulation. I hold a dual bachelor’s degree in mathematics and physics and have completed the first year of my Applied Mathematics master’s at Sorbonne University, specialising in Advanced Data Science.
During my gap year, I’m developing Wots AI and seeking a research or applied ML internship, with a particular interest in scientific and biomedical applications.
What I Do
Scientific Computing
Use numerical methods and probabilistic simulation to study complex systems, drawing on my mathematics and physics background.
Explore Monte Carlo simulationAI, Data & Infrastructure
Through Wots AI, help scope AI and ML solutions, data workflows and deployment architectures, with attention to integration, performance and data control.
Discover Wots AISelected Projects
View all projectsTennis Modelling & Monte Carlo Simulation
A university project combining player profiling, PCA and clustering with Elo-based modelling and Monte Carlo simulation to explore match outcomes, tournament probabilities and surface effects.
Preterm Birth Risk Analysis
Analysed patient and laboratory data with interpretable machine-learning models to support the refinement of an existing risk assessment test. The public demonstration uses synthetic data only.
Financial Time-Series Modelling
Developed regression models for historical LVMH stock data, with feature engineering and comparative performance analysis. A project developed following a quantitative research internship.
Let’s Connect
I’m looking for a research or applied ML internship where I can contribute to modelling, data analysis and scientific computing. I’m particularly interested in healthcare, biomedical research, energy and applied RnD, and open to other quantitative problems.
Get in touch