Artem Tysiatskii
Independent researcher and software developer · Kaliningrad, Russia
I build reproducible data systems to test difficult hypotheses about biological rhythms, behavior, and population-level data.
Open-source framework for testing associations between lunar tidal dynamics and population-level behavioral, crime, and health data.
Why the data can be trusted
Three pillars underpin the verifiability of the SGR project.
106M+ public records
7 official open databases, 5 U.S. metropolitan areas (Chicago, Los Angeles, New York, Philadelphia, San Francisco), 2001–2025.
Reproducible research
Open Python pipeline, pinned library versions (requirements.txt), Zenodo archive with a permanent DOI.
Independent verification welcome
Code, data, and detector thresholds are published in full; replication on other cities and countries is encouraged via GitHub Issues.
Research focus
Research software
Data engineering for messy open municipal datasets: unification, deduplication, time-series detrending.
Time-series & statistics
Random-effects meta-analysis with HKSJ correction, Hedges' g, BH-FDR, robustness batteries (permutation, bootstrap, placebo).
Chronobiology
Astronomical engine built on Skyfield and JPL DE421 ephemerides; a ddF detector for impulsive lunar tidal waves.
AI-assisted workflows
Using modern AI tooling to accelerate development, documentation, and reproducibility of research code.
Press kit & citation
Bio (EN)
Artem Tysiatskii (TemaTys) is an independent researcher and software developer based in Kaliningrad, Russia. Author of Seleno-Gravitational Rhythm (SGR), an open pipeline and cross-city meta-analysis of impulsive lunar tidal waves across 106M+ records of U.S. crime and medical statistics (2001–2025). Publishes code, data, and articles openly on GitHub and Zenodo.
How to cite
Identity
- ORCID
- 0009-0006-1974-7894
- GitHub
- github.com/TemaTys
- Repository
- seleno-gravitational-rhythm
- Zenodo DOI
- 10.5281/zenodo.20518660
- Telegram
- @TemaTys
- artem.tysiatskii@gmail.com