WANT A PROFILE LIKE THIS?
Create my FREE Plan Or learn about other options
João d'Oliveira Coelho
PeerJ Author & Reviewer
135 Points

Contributions by role

Author 100
Reviewer 35

Contributions by subject area

Anthropology
Evolutionary Studies
Paleontology
Data Mining and Machine Learning
Spatial and Geographic Information Science

João d'Oliveira Coelho

PeerJ Author & Reviewer

Summary

João is a self-taught programmer with an academic background in biological anthropology. João did his masters in Human Evolution and Biology at the University of Coimbra, while simultaneously creating osteomics.com where he worked extensively with 3D printing and photogrammetry, and also developed web applications for bioarchaeologists and forensic anthropologists. His research interests are in geospatial paleoanthropology, geometric morphometrics and osteology, from both forensic and evolutionary perspectives. João is currently on the fourth year of his DPhil at the University of Oxford. For his thesis, João is automating geospatial search for fossil sites in Africa, using computer vision and machine learning approaches. João is doing fieldwork in Koobi Fora, Kenya, and Gorongosa National Park, Mozambique, to ground-test his fossil site detection and paleoenvironmental reconstruction models based on satellite data.

Paleontology Spatial & Geographic Information Science

Work details

Researcher

Primate Models for Behavioural Evolution Lab, Institute of Human Sciences
September 2017
University of Oxford

Websites

  • jcoelho

PeerJ Contributions

  • Articles 1
  • Reviewed 1
June 8, 2021
Unsupervised learning of satellite images enhances discovery of late Miocene fossil sites in the Urema Rift, Gorongosa, Mozambique
João d’Oliveira Coelho, Robert L. Anemone, Susana Carvalho
https://doi.org/10.7717/peerj.11573 PubMed 34164235

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

March 11, 2020
Application of artificially intelligent systems for the identification of discrete fossiliferous levels
David M. Martín-Perea, Lloyd A. Courtenay, M. Soledad Domingo, Jorge Morales
https://doi.org/10.7717/peerj.8767 PubMed 32201651