Mauricio Moreno-Zambrano

PhD in Bioinformatics

Bayer AG, Crop Science Division

About me

Hi, welcome to my personal webpage!

My name is Mauricio. I am a Biostatistician currently working as Biostatistics Scientist at Bayer Crop Science. Besides that responsibility, I teach online seminars in Statistics because of two reasons: as a passion of mine for education, and in accordance to the compensation program part of the Ecuadorian Scholarship I was awarded in 2012 to pursue my post-graduate studies. Here you will find a light summary of my CV and projects I have worked/currently working in. Please feel free to drop me a message in the contact form at the end of this page.

Interests

Bayesian Statistics
Kinetic Modelling
Clinical studies
Environmental Statistics
Data Science

Education

PhD in Bioinformatics, 2021
Jacobs University Bremen - DE
MSc in Statistics, 2015
KU Leuven - BE
BSc in Biotechnology, 2010
Escuela Politécnica del Ejército - EC

Software

R

Advanced

SAS

Intermediate

Python

Intermediate

Experience

Biostatistics Scientist

Bayer AG, Crop Science Division

Jun 2022 – Present Monheim am Rhein - Germany

Biostatistician responsible for the design and analysis of field trials for crop protection products

PostDoc and Statistical Counselor

Research Institute for Farm Animal Biology (FBN)

Oct 2021 – Mar 2022 Dummerstorf - Germany

Biostatistician at the Institute of Genomics and Biometrics of the FBN

Resident Associate

Jacobs University Bremen

Jul 2018 – Sep 2021 Bremen - Germany

Organizing social events and responsible for the well-being of undergrad students.

Research Associate - PhD Student

Jacobs University Bremen

Feb 2016 – Sep 2021 Bremen - Germany

Modelling and developing mathematical models for cocoa bean fermentation by means of linear and Bayesian optimization techniques applied on currently available kinetic profiles.

Environmental Statistical Analyst

Instituto Nacional de Estadística y Censos INEC Ecuador

Dec 2012 – Aug 2013 Quito - Ecuador

Designed surveys aimed to industry, households and sectional governments useful in the construction of a national general database based on the Framework for the Development of Environmental Statistics proposed by United Nations.