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Hello there 👋, my name is Egor

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 🚀
  • 25% software development 👨‍💻
  • 25% statistics 🧑‍🔬
  • 10% physics 🪐

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)

Egor Danilov's Projects

biffpoints icon biffpoints

Поиск точек бифуркации последовательности

deep_nn_galaxies icon deep_nn_galaxies

Modelling galaxies surface brightnesses with Variational Autoencoder on COSMOS dataset collected by Hubble Space Telescope

developerfolio icon developerfolio

🚀 Software Developer Portfolio Template that helps you showcase your work and skills as a software developer.

drawsequence icon drawsequence

Отрисовка эволюции рекурсивно заданной последовательности с помощью пакета SDL

fake_news_detection icon fake_news_detection

A study of the relationship between Fake news detection performance, Personality traits, and Political leaning.

hetvae icon hetvae

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series

paginator icon paginator

Шаблон , разбивающий множество на страницы

vichmath icon vichmath

Некоторые задачи вычислительной математики

you-are-what-you-eat icon you-are-what-you-eat

A data story exploring the relation between demographic markers and food consumption habits in London.

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