About Me

I studied a PhD in Agricultural Science in Córdoba, Argentina, and I am currently doing a Postdoc at Michigan State University. I worked in partership with several private and public companies. These works resulted in some publications and awards, for which I am extremely grateful. I am proactive, inquisitive and results oriented according to the DISC personality assessment.

Contact Details

Fernando M Aguate
Epidemiology and Biostatistics
IQ building, Michigan State University
MI 48823 US

+1 (517) 574-3496
fmaguate@gmail.com
matiasfe@msu.edu

Education

Postdoc in Epidemiology and Biostatistics

Michigan State University Present

Developing a techinque to detect genetic variants with pleiotropic effects (multi-trait analysis) from millions of variants in the human genome. I developed a software (pleiotest) in C++ and R to process large individual-level (and possibly unbalanced) data. Other projects include the study of brain development in infants. Fitting non-linear mixed models to explain volume development of subcortical structures, and cognitive abilities measured as Mullen, Bayley and CBCL scores. Several multivariate techniques are used in this project, such as PCA, CCorA, permutational MANOVA, regression trees, etc. I am also working as Teacher Assistant with Professors Gustavo de los Campos, Ana Vazquez, and Joseph Gardiner.

PhD in Agricultural Science

Universidad Nacional de Córdoba Jun 2018

Thesis title: Statistical tools for the analysis of multienvironment trials. I as awarded with a scholarship granted by CONICET-Argentina to take various classes related to plant breeding and GxE interaction. I worked in linear mixed models with unbalanced datasets, the analysis of multienvironment trials with high-throughput phenotyping, understanding GxE interactions with AMMI and GGE biplots, and the optimization of plant breeding field trials with the estimation of variance components, repeatability and potential gain.

Master in Applied Statistics

Universidad Nacional de Córdoba Dec 2016

I took classes in Statistical theory, probability, linear models, generalized linear models, matrix algebra, calculus, multitrait analysis, non-parametric techniques, etc. I obtained 92% of the needed credits for graduation, however I did not finished the thesis because I dedicated my time to the PhD studies.

Agronomy Engineer

Universidad Nacional de Córdoba Feb 2012

This five years degree included classes in genetics, animal and plant breeding, plant morphology, taxonomy and pathology, as well as animal anatomy. The thesis was in plant breeding for resistant to Fusarium wilt (Fusarium oxysporum f. sp. ciceris) in chickpea.

Work

Model developer

Monsanto-Bayer Argentina Jun 2017 - Feb 2019

I worked developing machine learning solutions for the prediction of potential yield with spatial data. I coordinated ~120 field trials in Argentina, Uruguay, and Brazil, from experimental design to analysis of results. These trials were testing seed rates, corn hybrids, and nitrogen fertilization. I had several secundary projects, including the prediction of seasonal damage caused by fall armyworm (Spodoptera frugiperda) at large scale using satellite images and weather forecasts.

Statistician and Consultant

Universidad Nacional de Córdoba Feb 2013 - Jun 2017

I worked in various projects as consultant with my advisor Professor Mónica Balzarini. The most relevant projects included the Re-design of multienvironment trials in a Sugarcane breeding program (2016), and developing a parental selection strategy for the same breeding program (2014).

Plant Breeder Assistant

Nidera Seeds (now Syngenta) Oct 2012 - Feb 2013

I worked implementing mixed models with ASREML to evaluate the network of pre-commercial corn hybrids including co-ancestry data. Also, I realized morphological characterization of pre-commercial corn hybrids needed for national registration.

Skills

This section is dedicated to hard skills in languages.

  • R
  • Python
  • C++
  • html5
  • English
  • Spanish
  • Russian
  • Italian