CV
Education
- Ph.D in Astrophysics, Leibniz Institute for Astrophysics Potsdam (in progress)
- M.Sc. in Astrophysics and Cosmology, Observation and Experimentation Track; University of Padova 2025
- B.S. in Physics with Dual Major in Russian; University of New Hampshire 2023
Experience
PhD Student, 2026-present
- Chronicling the Clouds project, Leibniz Institute for Astrophysics Potsdam
- Supervisor: Dr. Lara Cullinane Chemodynamic characterization of halo stars in the Large Magellanic Cloud. Investigating halo formation channels, and studying the dynamical history and evolution of the LMC.
Graduate Student, 2024-2026
- GALFOR Group, University of Padova
- Supervisor: Prof. Antonino Milone Analyzed HST imagery of NGC 2158. Co-I on JWST Cycle 4 GO 8960. Marchuk et al. 2026 on NGC 2158 binaries, mass functions, M-dwarf discontinuity.
Graduate Research Assistant, 2023-2026
- Space Science Center, University of New Hampshire
- Supervisor: Dr. Charles Smith Analysis of unusual high frequency events in magnetic field data from Ulysses.
Undergraduate Student Researcher, 2018-2023
- Space Science Center, University of New Hampshire
- Supervisor: Dr. Charles Smith Developed and maintained a database of waves excited by interstellar pickup ions from Ulysses data – Marchuk et. al (2021). Built and deployed fluxgate magnetometers and wrote documentation for their construction.
Skills
- Data reduction and analysis
- High precision astrometry, photometry, stellar motions (procedures by J Anderson et al.), photometric analysis in crowded regions
- HST, GAIA, JWST, Euclid data analysis
- Spectrogram, power spectrum, magnetic field data
- Working with large datasets
- Ulysses He+ wave event database collected from 20 years of daily spectrograms
- Photometric data from HST can contain thousands of stars
- Editing scientific writing for structure, grammar, clarity
- Science communication to the public
- Python, MATLAB, LaTeX; basic SuperMongo and FORTRAN
- SAOImageDS9, CASA, Linux OS, Git/GitHub, bash commands, ssh
- Basic machine learning, applied to exoplanet detection & atmospheric analysis
- English (native), Russian (B2-C1)