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Monique Ladds
PeerJ Author
305 Points

Contributions by role

Author 235
Preprint Author 70

Contributions by subject area

Animal Behavior
Ecology
Marine Biology
Data Mining and Machine Learning
Statistics
Data Science

Monique A Ladds

PeerJ Author

Summary

I am an applied statistician with experience in biology and ecology (specifically physiology and fisheries) and disaster economics. My current focus is understanding the assumptions underlying ecosystem models. To do so, I am working as a part the Managed Seas project (http://sustainableseaschallenge.co.nz/programmes/managed-seas) for the New Zealand government’s program Sustainable Seas. Primarily I use supervised and unsupervised machine learning tools to explore the assumptions built into ecosystem models.

Animal Behavior Data Mining & Machine Learning Ecology Marine Biology Zoology

Past or current institution affiliations

Victoria University of Wellington

Work details

Postdoctoral Fellow

Victoria University of Wellington
February 2017
Mathematics and Statistics

PeerJ Contributions

  • Articles 2
  • Preprints 2
October 26, 2018
Using accelerometers to develop time-energy budgets of wild fur seals from captive surrogates
Monique A. Ladds, Marcus Salton, David P. Hocking, Rebecca R. McIntosh, Adam P. Thompson, David J. Slip, Robert G. Harcourt
https://doi.org/10.7717/peerj.5814 PubMed 30386705
October 23, 2018
Creating functional groups of marine fish from categorical traits
Monique A. Ladds, Nokuthaba Sibanda, Richard Arnold, Matthew R. Dunn
https://doi.org/10.7717/peerj.5795 PubMed 30370185
August 28, 2018 - Version: 1
Creating functional groups of marine fish from categorical traits
Monique A Ladds, Nokuthaba Sibanda, Richard Arnold, Matthew R Dunn
https://doi.org/10.7287/peerj.preprints.27148v1
February 23, 2018 - Version: 1
Low resolution accelerometers can be used to develop time-energy budgets of wild fur seals from captive surrogates
Monique A Ladds, Marcus Salton, David P Hocking, Rebecca R McIntosh, Adam P Thompson, David J Slip, Robert G Harcourt
https://doi.org/10.7287/peerj.preprints.26570v1