Chief Technical Officer

Dr Niall Quinn

Niall is Fathom’s Chief Technical Officer He helps shape the company’s scientific strategy and ensures structures are in place to facilitate the efficient, rigorous and collaborative creation of novel IP across the science teams. Niall is the head of Fathom’s coastal modeling and works closely with the catastrophe modeling team to aid in the development of probabilistic flood event sets.

He was one of Fathom’s first employees, joining in 2017 after spending four years as a post-doctoral Researcher at the University of Bristol working on flood risk prediction. 

Niall continues to enjoy working for the firm all these years later, thanks to the friendly office atmosphere, and the ability to continue working in an area that aligns closely with his PhD in modeling tide-surge-wave interactions, which he obtained from the University of Southampton prior to his move to Bristol.  

Outside of work, Niall loves playing sports, hanging out with family and taking his dog on long walks.

If you’d like to get in touch about media interviews or event speakership opportunities for Niall, please contact [email protected] or complete the contact form below.

Key topics

  • Stochastic modeling
  • Coastal modeling

Contacts

Related content and appearances

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Research Paper

Automated tail-informed threshold selection for extreme coastal sea levels

Composite image comprising two graphs. The figure on the right shows the results from applying the EQD and TAILS methods to every GESLA record used in this study, showing the distributions of quantile probabilities of the selected thresholds. On the left are spatial plots of (a) the quantile probabilities of selected thresholds using the TAILS methods, and (b) the difference in the quantile probabilities of the selected thresholds between the TAILS and EQD approaches.
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Insight

Supporting the next generation of flood scientists

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Post

State flood model certified by the Florida Loss Commission

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Research Paper

Exposure to flooding in Small Island Developing States (SIDS)

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Insight

A look back at EGU 2024: Fathom’s research and reflections

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Research Paper

A 30 m global flood inundation model for any climate scenario

Global Flood Map research paper graph - Average annual flood over time diagram
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Research Paper

Global application of a regional frequency analysis to extreme sea levels

Global application of a regional frequency analysis to extreme sea levels
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Research Paper

A climate conditioned catastrophe risk model for UK flooding

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Research Paper

Use of hydrological models in global stochastic flood modeling

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Research Paper

Inequitable patterns of US flood risk in the Anthropocene

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