Coleman Krawczyk

Coleman Krawczyk is a Senior Research Software Engineer at the Institute of Cosmology & Gravitation, University of Portsmouth, and a Citizen Science and Outreach Fellow. He serves as Technical Lead for the Tactile Universe project, creating 3D tactile astronomy models for vision-impaired students. A member of the Zooniverse development team, he builds data aggregation tools for citizen science projects like Global Earth Model (digital twin infrastructure) and Kilonova Seekers (real-time transient detection).

• Education: PhD from Drexel University (2014)
• Key Research: Machine learning for gravitational lensing, dark matter analysis, accessible astronomy, and SDSS/MaNGA survey contributions

His recent work includes:

• Machine learning applications for Euclid Q1 Strong Lensing Discovery Engine (2025)
• GOTO065054+593624 dwarf nova detection (2025)
• Self-interacting dark matter evidence via SDSS J0946+1006 analysis (2025)
• LIGO-Virgo-KAGRA outreach initiatives (2024)

Selected awards:

• Annie Maunder Medal for Outreach (2022) for accessible astronomy innovations

He contributes to major collaborations including Sloan Digital Sky Survey, CANDELS, and Global Earth Model, while actively participating in Python-based astronomical software development (Astropy, SkyPy).
Current projects focus on machine learning integration with citizen science and 3D printing for inclusive education, maintaining active collaborations with institutions across the UK, USA, and International Sky Surveys.