About Me
Hi! I'm a physicist and computational scientist with a deep passion for science, technology, and the future. Growing up in Vladivostok, Russia, I learned the value of hard work and perseverance early on. My journey took me from my hometown to Germany, where I pursued advanced degrees in astrophysics at the University of Bonn and Friedrich Schiller University Jena.
During my Ph.D. and postdoctoral research, I worked on numerical simulations of astrophysical phenomena like merging neutron stars and gamma-ray bursts. One of my proudest achievements is developing
PyBlastAfterglow, an open-source software used currently by multiple research groups for its advanced computational capabilities. This project allowed me to combine my love for coding in Python and C++ with complex mathematical modeling and data analysis.
After over six years in academia, I realized I wanted to apply my skills to real-world challenges that have a direct impact on society. I'm currently transitioning into the energy and engineering industries as a data scientist or AI solutions engineer. I'm excited to use my background in physics and computational methods to tackle critical issues in these fields.
Right now, I'm working on an
MLOps pipeline for forecasting electricity prices in Germany. This project integrates machine learning, MLOps, and CI/CD technologies, and it's my way of contributing to sustainable energy solutions.
When I'm not coding, I enjoy travelling,
photography and
writing science fiction. I also love teaching and have found great joy in mentoring students and collaborating with diverse teams. I'm always eager to connect with others who share a passion for technology and making a positive difference in the world.
Feel free to reach out - I'm always open to new opportunities and collaborations!
Education
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PhD in Theoretical Astrophsyics, 2021
Friedrich-Schiller-Universität Jena, Germany
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Master's in Astrophysics, 2018
Universität Bonn, Germany
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Bachelor's in Physics, 2015
Far Eastern Federal University, Vladivostok, Russia
Projects
Leverages MLOps pipelines for accurate week-ahead forecasts of renewable energy generation, electricity load, and prices. Combines robust data engineering, advanced ML models, and scalable automation to optimize operations, enhance trading strategies, and support sustainable energy integration.
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Stage 1: Data Collection via APIs and scraping (11/10/2024)
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Stage 2: Baseline Forecasting via an Ensemble Model (21/11/2024)
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Stage 3: Finetuning, Training, Forecasting Pipeline (15/12/2024)
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Stage 4: MVP Release: nn- and off-shore wind power forecasts; deployment to GitHub Pages (03/01/2025)
Software
PyBlastAfterglow is a C++ code with a Python interface designed to model light curves, spectra, and sky maps of gamma-ray bursts and kilonova afterglows. It numerically solves the hydrodynamics of shock fronts and the evolution of electron distributions, and computes synchrotron and SSC emission. The modular structure of the code makes it easy to incorporate new physical models or techniques.
Academic Career
List of First-Author Publications
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Multi-physics framework for fast modeling of gamma-ray burst afterglows – September 2024
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Synthetic radio images of structured GRB and kilonova afterglows – February 2023
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Modeling kilonova afterglows: Effects of the thermal electron population and interaction with GRB outflows – January 2023
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Dynamical ejecta synchrotron emission as possible contributor to the changing behaviour of GRB170817A – April 2021
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Mapping dynamical ejecta and disk masses from numerical relativity simulations of neutron star mergers – November 2021
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Numerical Relativity Simulations of the Neutron Star Merger GW170817: Long-Term Remnant Evolutions, Winds, Remnant Disks, and Nucleosynthesis – August 2020
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Spiral-wave wind for the blue kilonova – July 2019
Conferences, Talks and Outreach
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Invited speaker at Deutsches Elektronen-Synchrotron (DESY) – Zeuthen, Germany, 2023
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Invited speaker at Weizmann Institute of Science – Tel-Aviv, Israel, 2023
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ECT* conference – Rome, Italy, September 2022
Modeling of electromagnetic counterparts of binary neutron star mergers
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RTG conference – Online (Jena), Germany, September 2021
Binary neutron star mergers: ejecta, nucleosynthesis and electromagnetic counterparts
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ISAPP PhD School Summer School on Gravitational Waves – Online, June 2021
BNS mergers: EM counterparts & nucleosynthesis (poster)
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MICRA Workshop at TPI – Jena, Germany, August 2019
Spiral-wave wind for the blue kilonova
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ECT* conference plenary talk at University of Trento – Trento, Italy, June 2019
Neutron Star Mergers & Electromagnetic Counterparts
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RTG conference – Munich, Germany, March 2019
Numerical Relativity Informed Kilonova Model
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Tutor at Bonn University – 2017-2018
Courses: Stars and Stellar Evolution, Nucleosynthesis
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Lecturer and Tutor at FSU Jena – 2019-2021
Courses: Computational Physics II, Project Practicum: Numerical solutions to wave equation
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Member of German Physical Society – 2019-2024
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Member of Computational Relativity Group – 2019-2024
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Service: Computational Relativity Group (CoRe) – 2019-2023
Thesis Works
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PhD Thesis: Binary Neutron Star Mergers and Electromagnetic Counterparts – Defence: 14 April 2022
Friedrich-Schiller-Universität Jena
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Master's Thesis: Diagnostic of the Conditions at the Base of the Optically Thick Winds of Wolf-Rayet Stars in the Galaxy and the LMC – Defence: September 2018
Rheinischen Friedrich-Wilhelms-Universität Bonn