R Wizard, Lead Developer
R Wizard, Lead Developer

David Senhora Navega

David Senhora Navega is a forensic anthropologist and researcher specializing in the intersection of biological anthropology and computational intelligence. He graduated from the University of Coimbra (Portugal), where he also completed his PhD, focusing on the development of new methodologies for skeletal age-at-death estimation using machine learning. Currently, he is a Postdoctoral Researcher at Panacea Cooperative Research in Spain (2025–2027), leading the M2IbAE project (Multimodal and multifactorial Image-based Age Estimation), funded by the European Commission’s Marie Skłodowska-Curie Actions. He also serves as a Forensic Technician at the National Institute of Legal Medicine and Forensic Sciences (INMLCF) in Portugal. To date, he has authored or co-authored over 30 peer-reviewed articles and 3 book chapters, with his work garnering more than 1,500 citations.

Navega’s Github

Shiny Jedi, Lead Designer
Shiny Jedi, Lead Designer

João d’Oliveira Coelho

João d’Oliveira Coelho is a paleoanthropologist and self-taught programmer with an academic background spanning the full spectrum of biological anthropology. He holds a DPhil from the University of Oxford, where he specialized in automating geospatial searches for fossil sites using computer vision and satellite data. Currently, he is a Postdoctoral Affiliate at the University of Oxford and works full-time as a Paleontologist for Gorongosa National Park in Mozambique. His current research involves extensive fieldwork in the Rift Valley, where he applies predictive modeling to reconstruct paleoenvironments and locate new hominin fossil sites. A true polymath in the field, João has published over 20 peer-reviewed articles across a remarkably diverse range of subdisciplines, including paleontology, forensics, primatology, bioarchaeology, and speleology. His scientific research has gathered over 700 citations.

João’s webpage




For more information: 10.1016/B978-0-12-815764-0.00005-8 | Powered by R Markdown.