About me

Hello there!

Evgeny Smirnov

My name is Evgeny, and I’d like to welcome you to my personal website. Throughout my career, I’ve assumed a variety of positions and roles, which has nurtured my interest in a broad spectrum of areas. These include startups, scientific disciplines like astronomy, philosophy, and psychology, as well as management, business, and software development, among others.

Should you wish to connect with me, don’t hesitate to reach out through any of the social networks listed. I’m always excited to meet new people and explore fresh perspectives. While I have my specific areas of interest, I remain open to new opportunities and experiences.

For those who’d prefer a face-to-face conversation, I can often be found in Barcelona. Looking forward to crossing paths!

Social profiles

My current roles

My Current Interests

My experience

(see LinkedIn Profile for the full version)

Additional experience

My education

My most important scientific papers

  1. Chaotic Diffusion and Transient Resonance Captures of the Near-Earth Asteroid 2024 YR₄ (Astronomy & Astrophysics, 2025)
  2. A highly resonant Neptunian region: A systematic search for two-body and three-body mean-motion resonances (Icarus, 2025)
  3. Existential Concerns Arising From a Threat to the Belief in a Just World: A Mixed-Methods Study (Journal of Humanistic Psychology, 2025)
  4. Fast, Simple, and Accurate Time Series Analysis with Large Language Models: An Example of Mean-motion Resonances Identification (The Astrophysical Journal, 2024)
  5. A comparative analysis of machine learning classifiers in the classification of resonant asteroids (Icarus, 2024)
  6. How do people experience innocent suffering? (Frontiers in Psychology, 2023)
  7. A new python package for identifying celestial bodies trapped in mean-motion resonances (Astronomy and Computing, 2023)
  8. Asteroids in three-body mean motion resonances with planets (Icarus, 2017)
  9. Identification of asteroids trapped inside three-body mean motion resonances: a machine-learning approach (Monthly Notices of the Royal Astronomical Society, 2017)
  10. Massive identification of asteroids in three-body resonances (Icarus, 2013)

My pet open-source projects

  1. A scientific python package resonances that uses both traditional and machine-learning approaches to identify mean-motion resonances in planetary systems (see docs)
  2. Fast, fortran backed numerical integrator for N-body problem
  3. A machine-learning tool that categorise asteroids in the main belt in the Solar system into families (python)
  4. An old PHP library that converts dates into human readable format
  5. An old skeleton for Symfony projects

Official registration information