I am a graduate Master in astrophysics at EPFL (Swiss Federal Institute of Technology Lausanne). I now work as a research assistant in the AI group of Fermilab (Fermi National Accelerator Laboratory, US).
In the course of my research activity, I work with time series analysis. Specifically, I enhance Gaussian processes with neural networks to solve the tasks of time series interpolation and forecasting. I have previously worked on computer vision tasks: inference of non-linearly transformed Gaussian processes, development of generative neural networks, and spectral analysis of images.
My current work is:
- 40% machine learning π
- 25% software development π¨βπ»
- 25% statistics π§βπ¬
- 10% physics πͺ
I currently look for positions in finance and IT, with the tasks that imply the use of deep learning, statistics and software development.
Skills: Deep learning, Statistics, Optimisation, Data analysis, Software engineering Programming Languages: Python, Haskell, C++ Machine learning and Optimisation: PyTorch, Tensorflow, OpenCV, Scikit, Jax Other: Git, Bash
Languages: English (C1), Russian (Native)