David R. Williamson
About
My background is as a reasearcher in computer vision, with a particular interest in the use of novel imaging and automated systems for understanding animal behaviour and development.
Current research
I am part of the Machine Vision for Natural History research group within the Department of Natural history, using computer vision and machine learning to investigate the NTNU University Museum's vast collection of natural history specimens with the goal of making them digitally available to researchers and using digitised records to enable research in biology, ecology and taxonomy.
I previously completed my PhD at NTNU, working with SINTEF Ocean and NTNU's Applied Underwater Robotics Laboratory to investigate the effects of pollutants on cod development using novel laboratory imaging hardware, autonomous underwater vehicles, and machine learning.
Research
Publications
2025
-
Williamson, David Roddan;
Prestø, Tommy;
Westergaard, Kristine Bakke;
Trascau, Beatrice Maria;
Vange, Vibekke;
Hassel, Kristian.
(2025)
Long-term trends in global flowering phenology.
New Phytologist
Academic article
2024
-
Williamson, David Roddan;
Togunov, Ron Ronald;
Davies, Emlyn John;
Ludvigsen, Martin;
Hansen, Bjørn Henrik.
(2024)
Automated monitoring of early life-stage development in Atlantic cod (Gadus morhua) embryos exposed to a reference toxicant.
Limnology and Oceanography : Methods
Academic article
-
Williamson, David Roddan;
Davies, Emlyn John;
Ludvigsen, Martin;
Hansen, Bjørn Henrik.
(2024)
Flow-through imaging and automated analysis of oil-exposed early stage Atlantic cod (Gadus morhua).
Toxicology Mechanisms and Methods
Academic article
-
Williamson, David Roddan.
(2024)
Automated monitoring of the early life stages of fish.
Doktoravhandlinger ved NTNU (375)
Doctoral dissertation
2023
-
Williamson, David Roddan;
Moreira Fragoso, Glaucia;
Majaneva, Sanna Kristiina;
Dallolio, Alberto;
Halvorsen, Daniel Ørnes;
Hasler, Oliver Kevin.
(2023)
Monitoring Algal Blooms with Complementary Sensors on Multiple Spatial and Temporal Scales.
Oceanography
Academic article
2022
-
Oudijk, Esmée;
Hasler, Oliver Kevin;
Øveraas, Henning;
Marty, Sabine;
Williamson, David Roddan;
Svendsen, Torbjørn Karl.
(2022)
Campaign For Hyperspectral Data Validation In North Atlantic Coastal Waters.
Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Academic article
-
Williamson, David Roddan;
Nordtug, Trond;
Leirvik, Frode;
Kvæstad, Bjarne;
Hansen, Bjørn Henrik;
Ludvigsen, Martin.
(2022)
A flow-through imaging system for automated measurement of ichthyoplankton.
MethodsX
Academic article
2021
-
Hansen, Bjørn Henrik;
Farkas, Julia;
Piarulli, Stefania;
Vicario, Silvia;
Kvæstad, Bjarne;
Williamson, David Roddan.
(2021)
Atlantic cod (Gadus morhua) embryos are highly sensitive to short-term 3,4-dichloroaniline exposure.
Toxicology reports
Academic article
Journal publications
-
Williamson, David Roddan;
Prestø, Tommy;
Westergaard, Kristine Bakke;
Trascau, Beatrice Maria;
Vange, Vibekke;
Hassel, Kristian.
(2025)
Long-term trends in global flowering phenology.
New Phytologist
Academic article
-
Williamson, David Roddan;
Togunov, Ron Ronald;
Davies, Emlyn John;
Ludvigsen, Martin;
Hansen, Bjørn Henrik.
(2024)
Automated monitoring of early life-stage development in Atlantic cod (Gadus morhua) embryos exposed to a reference toxicant.
Limnology and Oceanography : Methods
Academic article
-
Williamson, David Roddan;
Davies, Emlyn John;
Ludvigsen, Martin;
Hansen, Bjørn Henrik.
(2024)
Flow-through imaging and automated analysis of oil-exposed early stage Atlantic cod (Gadus morhua).
Toxicology Mechanisms and Methods
Academic article
-
Williamson, David Roddan;
Moreira Fragoso, Glaucia;
Majaneva, Sanna Kristiina;
Dallolio, Alberto;
Halvorsen, Daniel Ørnes;
Hasler, Oliver Kevin.
(2023)
Monitoring Algal Blooms with Complementary Sensors on Multiple Spatial and Temporal Scales.
Oceanography
Academic article
-
Oudijk, Esmée;
Hasler, Oliver Kevin;
Øveraas, Henning;
Marty, Sabine;
Williamson, David Roddan;
Svendsen, Torbjørn Karl.
(2022)
Campaign For Hyperspectral Data Validation In North Atlantic Coastal Waters.
Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
Academic article
-
Williamson, David Roddan;
Nordtug, Trond;
Leirvik, Frode;
Kvæstad, Bjarne;
Hansen, Bjørn Henrik;
Ludvigsen, Martin.
(2022)
A flow-through imaging system for automated measurement of ichthyoplankton.
MethodsX
Academic article
-
Hansen, Bjørn Henrik;
Farkas, Julia;
Piarulli, Stefania;
Vicario, Silvia;
Kvæstad, Bjarne;
Williamson, David Roddan.
(2021)
Atlantic cod (Gadus morhua) embryos are highly sensitive to short-term 3,4-dichloroaniline exposure.
Toxicology reports
Academic article
Report
-
Williamson, David Roddan.
(2024)
Automated monitoring of the early life stages of fish.
Doktoravhandlinger ved NTNU (375)
Doctoral dissertation
Outreach
2025
-
Academic lectureWilliamson, David Roddan. (2025) Long‐term trends in global flowering phenology. The Nordic Borealization Network NordBorN Meeting 2025 , Aarhus 2025-03-25 - 2025-03-27
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Academic lectureWilliamson, David Roddan. (2025) Long-term trends in global flowering phenology; or, Machine learning for large herbarium datasets. Norsk Økologisk Forening OIKOS Norway 2025 , Bodø 2025-04-08 - 2025-04-13
2022
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Academic lectureWilliamson, David Roddan; Kvæstad, Bjarne; Hansen, Bjørn Henrik; Ludvigsen, Martin; Davies, Emlyn John. (2022) Laboratory and in-situ imaging and automated analysis of marine particles. ASLO Ocean Sciences Meeting 2022 , Honolulu 2022-02-24 - 2022-03-04
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PosterWilliamson, David Roddan; Løvås, Håvard. (2022) Monitoring the Arctic with Autonomous Underwater Vehicles. Arctic Frontiers 2022-05-08 - 2022-05-11