Curriculum Vitae


Education

Doctorate of Philosophy

Astrophysics
Queen's University Belfast
(2020 - 2024)

  • 2020 Eric Lindsay Scholarship, jointly hosted by Dublin Institute for Advanced Studies and Armagh Observatory and Planetarium.
  • Designed and operated high-throughput data pipelines processing >100TB of time-series data from multi-instrument sensor arrays.
  • Managed real-time data acquisition as Chief Observer, overseeing streams of up to 3 GB/s with a focus on data integrity, storage, and downstream signal processing.
  • Engineered feature extraction and anomaly detection systems to identify rare signals in high-noise environments.
  • Implemented parallelised, containerised workflows (Slurm, Singularity) to ensure repeatable, audited data processing in high-compute environments.
  • Validated complex models by comparing simulated datasets against empirical measurements.
  • Published peer-reviewed research in leading international journals (Nature Astronomy and Astronomy & Astrophysics).
  • Award-Winning Science Communicator: Recognized for excellence in translating highly technical astrophysical and mathematical concepts for diverse, non-specialist audiences.

Bachelor of Science (Honours)

Physics with Astronomy and Space Science
University College Dublin
(2016 - 2020)

  • Relevant coursework: Probability and Statistics, Databases and Information Systems (SQL), Applied Mathematics, Linear Algebra, Calculus
  • Undergraduate Physics Project Report: Currently Unavailable

Experience

Data Scientist

LexisNexis Risk Solutions
(Jul. 2025 – Present)

  • PhD Researcher

    Queen's University Belfast
    (Sept. 2020 – Dec. 2024)
    • Designed and operated high-throughput data pipelines processing >100TB of time-series data from multi-instrument sensor arrays.
    • Managed real-time data acquisition as Chief Observer, overseeing streams of up to 3 GB/s with a focus on data integrity, storage, and downstream signal processing.
    • Engineered feature extraction and anomaly detection systems to identify rare signals in high-noise environments.
    • Implemented parallelised, containerised workflows (Slurm, Singularity) to ensure repeatable, audited data processing in high-compute environments.
    • Validated complex models by comparing simulated datasets against empirical measurements.
    • Award-Winning Science Communicator: Recognized for excellence in translating highly technical astrophysical and mathematical concepts for diverse, non-specialist audiences.

    Technical Skills

    • AI & Machine Learning: LLMs/li>
    • Data Privacy & Security: Data Anonymisation/De-identification, GDPR-compliant Data Design
    • Programming: Python (8+ years), SQL (Advanced), Bash, R
    • Data Engineering: Azure, High-volume ETL, Parquet, Batch/Stream Processing, AWS
    • Specialised Analysis: Time-series signal processing, Sensor fusion, Multi-channel data analysis
    • Software Practices: Production-grade Python (PEP8, Type Hinting, Docstrings), Modular Design, Unit Testing (PyTest), CI/CD Workflows, Docker, Git-flow

    Awards

    • Institute of Physics Three-Minute Wonder UK and Ireland Audience Award 2024 (Royal Institution, London, United Kingdom)
    • IOP Rosse Medal for Best Postgraduate Presentation 2024 (IOP Irish HQ, Dublin, Ireland)
    • Peter Curran Award for Best Postgraduate Presentation 2022 (Irish National Astronomy Meeting, Dublin Ireland)

    Publications

    • Multiwavelength observations of flaring activity on the Sun and M dwarf stars
      Jeremy Rigney PhD Thesis, Queen's University Belfast, 2024
    • Radio signatures of star–planet interactions, exoplanets and space weather
      Callingham J. R., Pope B. J. S., Kavanagh, R. D., Bellotti, S., Daley-Yates, S., Damasso, M., Grießmeier, J.-M., Güdel, M., Günther, M., Kao, M. M., Klein, B., Mahadevan, S., Morin, J., Nichols, J. D., Osten, R. A., Perez-Torres, M., Pineda, J. S., Rigney, J., Saur, J., Stefánsson, G., Turner, J. D., Vedantham, H, Vidotto, A. A., Villadsen, J. & Zarka, P.
      Nature Astronomy, 2024
    • Tracking the motion of a shock along a channel in the low solar corona
      Jeremy Rigney, Peter T Gallagher, Gavin Ramsay, J Gerry Doyle, David M Long, Oleg Stepanyuk, Kamen Kosarev
      Astronomy and Astrophysics, 2024
    • Searching for stellar flares from low-mass stars using ASKAP and TESS
      Jeremy Rigney, Gavin Ramsay, Eoin P Carley, J Gerry Doyle, Peter T Gallagher, Yuanming Wang, Joshua Pritchard, Tara Murphy, Emil Lenc, David L Kaplan.
      Monthly Notices of the Royal Astronomical Society, 2022
    • First results from the REAL-time Transient Acquisition backend (REALTA) at the Irish LOFAR station
      PC Murphy, Paul Callanan, J McCauley, DJ McKenna, D Ó Fionnagáin, CK Louis, MP Redman, LA Cañizares, EP Carley, SA Maloney, B Coghlan, Mark Daly, J Scully, J Dooley, V Gajjar, C Giese, A Brennan, EF Keane, CA Maguire, J Quinn, S Mooney, AM Ryan, J Walsh, CM Jackman, A Golden, TP Ray, JG Doyle, J Rigney, M Burton, PT Gallagher
      Astronomy and Astrophysics, 2021
    • Comparing Game Based Learning, using a student created game, to Traditional Classroom Methods
      Jeremy Rigney, Niall Murray.
      Information Technology & Telecommunications Conference Proceedings, 2014