Biography
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 .
Interests
- Bioclimatic data modelling
- Applied machine learning
- Quantitative genetics
- Computational biology
Education
-
Ph.D. Forest Sciences, 2022
University of Tasmania
-
B.Sc. Forest Sciences, 2012
Universidad Austral de Chile
Skills
Machine Learning
95%
Data management
100%
Data analysis
100%
R (shiny)
90%
Python
85%
Quantitative Genetics
80%
Experience
Co-Founder - Data Scientist
Responsibilities include:
- Data pipeline development
- web-based system architect
- R and Python developer (Shiny)
Doctoral researcher
Responsibilities include:
- Bioclimatic modelling
- Quantitative genetics
- Machine learning pipelines
Research Fellow (Tree genetic improvement)
Responsibilities include:
- Genetic trial design
- Analysis of genetic trials
- Industry reports
Assistant Lecturer
Responsibilities include:
- Computational statistics (lab module)
- Tree genetic improvement (field module)
- Professional training on trial measurements
Accomplishments
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
Projects
*
Gallery
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).
(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).
(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).
(2021).
R-based image analysis to quantify checking and shrinkage from wood wedges.
Eur. J. Wood Prod., 79(1269–1281).
Contact
- [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