top of page
Enlight410_edited.jpg
Screenshot 2022-11-27 at 16.30.47.png
IMG_1296.JPG
Screenshot 2020-12-14 at 05.55.54.png

Shark Measurements

Inter-disciplinary chondrichthyan evolutionary biology and ecology research group

Shark Measurements is a small team of early-career scientists specialising in the evolution and ecology of chondrichthyans (sharks, rays and chimaera). 

We believe that the following factors are key to all successful research, and aim to comply with them at all times:

1. Quantitative results - we strive to produce high-quality, peer-reviewed scientific publications in the name of advancing scientific understanding of elasmobranchs, incorporating statistical analyses and computational methods as a matter of necessity.

   

2. Objectivity - we believe in science without bias, and as such all results must be reported, whether positive or negative. Research must not be influenced by preconceptions, stakeholders, or egos.

3. Collaboration - to maximise research quality and output, we believe that collaborations within the scientific community are crucial. We seek to collaborate as widely and frequently as possible with leaders in a range of scientific fields.

4. Inclusivity - Human beings function best when they're working together, and we're no different. The scientific community should be welcoming and inclusive of all, and actively engage with the community through outreach and education.

Research Interests

Dave -115.JPEG

Our work primarily focusses on the evolution and ecology of sharks, rays and chimaera, although we occasionally work with other organisms.

We have published work along with our collaborators on a number of species, covering topics such as sexual dimorphism, ontogenetic morphometry, reproductive behaviour, and human-shark interactions.

Research techniques used by our team include (but are by no means limited to) comparative phylogenetics, deep learning algorithms, Hidden Markov Models, Unoccupied Aerial Vehicles (UAV), traditional multivariate statistics, elliptic Fourier analysis, geometric morphometrics (2D and 3D), population genetics and genomics, social network analysis.

Click the button below to learn more about our current research topics:

bottom of page