Manuel Rocha

Manuel Rocha

Academic researcher

University of Tasmania, Australia


Passionate researcher focused on bioclimatic and genetic data modelling using machine learning and advanced visualization techniques. I have more than 10 years experience on academic research working with multicultural research teams locally and internationally. I am interested in finding new knowledge from wood-quality data to improve present and future forest value.

Download my resumé .

  • Bioclimatic data modelling
  • Applied machine learning
  • Quantitative genetics
  • Computational biology
  • Ph.D. Forest Sciences, 2022

    University of Tasmania

  • B.Sc. Forest Sciences, 2012

    Universidad Austral de Chile


Machine Learning


Data management


Data analysis


R (shiny)




Quantitative Genetics



OneForest Analytics
Co-Founder - Data Scientist
Jun 2022 – Present Rancagua, Chile

Responsibilities include:

  • Data pipeline development
  • web-based system architect
  • R and Python developer (Shiny)
University of Tasmania
Doctoral researcher
Aug 2017 – May 2022 Hobart, Australia

Responsibilities include:

  • Bioclimatic modelling
  • Quantitative genetics
  • Machine learning pipelines
Universidad Austral de Chile
Research Fellow (Tree genetic improvement)
Mar 2012 – Mar 2017 Valdivia, Chile

Responsibilities include:

  • Genetic trial design
  • Analysis of genetic trials
  • Industry reports
Universidad Austral de Chile
Assistant Lecturer
Mar 2012 – Dec 2017 Valdivia, Chile

Responsibilities include:

  • Computational statistics (lab module)
  • Tree genetic improvement (field module)
  • Professional training on trial measurements


1st Award Poster Presentation - Conference
Eucalypt genetics: fundamental and applied research in a post-genome era Conference - Hobart Tasmania, Australia
ASReml-R for Linear Mixed Model analysis of breeding data - University of Queensland, Australia
International course in Forest Genetics and Biotechnology - UdeC
Workshop in Forest Genetics and Biotechnology - Universidad de Concepcion, Chile


OneForest Analytics
A web-based system for near-infrared calibration model development.

Recent Publications

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(2022). Using ensemble learning to model climate associated variation in wood properties of planted Eucalyptus nitens in north-western Tasmania. New Forests, 1(1).

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(2022). Effects of thinning on the longitudinal and radial variation in wood properties of Eucalyptus nitens. Forestry: An International Journal of Forest Research, 95(4).

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(2021). Genetic variation of microfibril angle and its relationship with solid wood and pulpwood traits in two progeny trials of Eucalyptus nitens in Tasmania. Holzforschung, 75(8).

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(2021). R-based image analysis to quantify checking and shrinkage from wood wedges. Eur. J. Wood Prod., 79(1269–1281).

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  • [email protected]
  • +56 979650586
  • Bello Horizonte N°845, OF 302, Rancagua, Libertador B. O'Higgins 2820000
  • Enter Building 2 and take the stairs to Office 302 on Floor 3
  • Monday to Friday 09:00 to 18:00
  • DM Me