Dúalta Ó Fionnagáin

Dúalta Ó Fionnagáin

Data Scientist in Climate Change, Remote Sensing, Machine Learning

University of Galway

«hi»

I am a data scientist currently working as a postdoc applying remote sensing (satellite data) to quantify food security and agricultural adaptation to climate change. My PhD in astrophysics focused on simulations of environments around solar-type stars. Now I lead the research of machine learning and computer vision analysis on our team, working with open source satellite data (e.g. Sentinel-1/2, Landsat, etc.). I’m interested in using optical and radar satellites to inform agricultural policy, large agricultural stakeholders, and the mitigation of climate change.

Interests
  • Remote Sensing
  • Deep Learning
  • Multi-dimensional data
  • Computer Vision
  • Synthetic Aperature Radar
Education

  • PhD Physics, 2020

    Trinity College Dublin

  • M.Sc. Space Science and Technology, 2016

    University College Dublin

  • BSc in Physics and Astrophysics, 2015

    Trinity College Dublin

Skills

Python
Statistics
Machine Learning
Remote Sensing Data
SAR
Data Visualisation

Experience

 
 
 
 
 
Postdoctoral Researcher in Climate Adaptation, Remote Sensing and Machine Learning
University of Galway
January 2023 – Present Ireland

I work developing models and analytics to quantify the impact of climate change interventions in an agricultural context.

  • Big data - image and time-series classification with machine learning
  • Satellite data - optical, infrared, and radar data types
  • Detecting changes and anomalies on the ground - machine learning + classifications
  • Methods to estimate profits/losses from climate interventions
  • Audit of USAID intervention in Senegal River Valley to mitigate impact from climate change on rice production

Python, pandas, rioxarray, scikit-learn, pytorch, keras

 
 
 
 
 
Postdoctoral Researcher Radio Astronomy, Stellar Physics, and Space Lightning
University of Galway
October 2020 – October 2022 Ireland

I worked on detecting space-borne radio emissions using some of the worlds most sensitive radio telescopes

  • Project management to organise multi-telescope observations of solar-system planets
  • Won observation time for observing very faint solar-mass radio stars to constrain stellar wind extent
  • Observed very active radio stars with multiple concurrent southern hemisphere radio telescope in novel search for exoplanet signals

Radio telescope imagery analysis techniques: Fourier analsyis, clean, RFI removal
Intensive python/pandas analysis of 2D spectral-time dynamic spectra

Recent Publications

Checkout all my publications on arXiv
Dúalta Ó Fionnagáin, RD Kavanagh, AA Vidotto, SV Jeffers, P Petit, SC Marsden, J Morin, A Golden (2022). Coronal Mass Ejections and Type II Radio Emission Variability during a Magnetic Cycle on the Solar-type Star ϵ Eridani. The Astrophysical Journal 924 (2), 115, 13 pp.

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Dúalta Ó Fionnagáin, AA Vidotto, P Petit, C Neiner, W Manchester IV, CP Folsom, G Hallinan (2020). λ And: a post-main-sequence wind from a solar-mass star. Monthly Notices of the Royal Astronomical Society 500 (3), 3438-3453.

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CP Folsom, Dúalta Ó Fionnagáin, L Fossati, AA Vidotto, C Moutou, P Petit, D Dragomir, JF Donati (2020). Circumstellar environment of 55 Cancri: The super-Earth 55 Cnc e as a primary target for star–planet interactions. Astronomy & Astrophysics 633, A48.

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Dúalta Ó Fionnagáin, AA Vidotto, P Petit, CP Folsom, SV Jeffers, SC Marsden, J Morin, JD do Nascimento Jr, BCool Collaboration (2019). The solar wind in time–II. 3D stellar wind structure and radio emission. Monthly Notices of the Royal Astronomical Society 483 (1), 873-886.

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RD Kavanagh, AA Vidotto, Dúalta Ó Fionnagáin, V Bourrier, R Fares, M Jardine, Ch Helling, C Moutou, J Llama, PJ Wheatley (2019). MOVES – II. Tuning in to the radio environment of HD189733b. Monthly Notices of the Royal Astronomical Society 485, (4), 4529-4538.

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