Statistical Modelling & Machine Learning
Explore data, compare predictive models and interpret their results, with careful attention to validation.
Learn moreApplied Mathematics · Machine Learning · Scientific Computing
Hi, I’m Fedor.
With a background in Mathematics and Physics and a completed first year of an Applied Mathematics master’s at Sorbonne University, I work on statistical modelling, machine learning and numerical simulation. I’m particularly interested in healthcare and biomedical research.
During my gap year, I’m developing Wots AI and seeking a research or applied machine learning internship.
What I Do
Scientific Computing
Use numerical methods and simulations to investigate scientific problems, drawing on my mathematics and physics background.
Learn moreAI & Data Systems
Design data workflows and AI architectures around practical requirements, including confidentiality and integration with existing software.
Learn moreSelected Projects
View allPreterm Birth Risk Analysis
Analysed clinical and laboratory data to investigate factors associated with preterm-birth risk and support the refinement of an existing assessment test. The public demonstration uses synthetic data.
Business Workflow Automation
Led the design of tools for email classification, draft replies and meeting scheduling, translating workflow requirements into automation features.
Financial Time-Series Modelling
Developed regression models for historical LVMH stock data, with feature engineering and comparative performance analysis, following a quantitative research internship.
Let’s Connect
I’m interested in research and applied ML opportunities, particularly in healthcare and biomedical science. Feel free to get in touch to discuss a project or internship.
Get in touch