Data analysis



October 2016 – December 2017
Leipzig, Germany

Postdoctoral researcher

Max Planck Institute for Evolutionary Anthropology

Balancing selection in humans


Getting and Cleaning Data


Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data.

Best graduate student paper on GBE (2018)

Society for Molecular Biology and Evolution

These awards provide recognition for outstanding student papers in both SMBE journals. All articles published in the two SMBE journals, Molecular Biology & Evolution and Genome Biology & Evolution, in the calendar year prior to the meeting are eligible for nomination. The best student paper of the year in each journal will receive the prize.

ASHG Spotlight Trainee Paper

American Society of Human Genetics

The Training and Development Committee of the ASGH is pleased to announce the ASHG Trainee Paper Spotlight, a feature that will highlight outstanding papers written by trainee members. A new Spotlight will be posted to the ASHG Trainee Forum the last Wednesday of each month on a quarterly basis.

R Programming


In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

The Data Scientist’s Toolbox


In this course, you will get an introduction to the main tools and ideas in the data scientist’s toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, Github, R, and Rstudio.
Dec 2008

First position in examination for the Graduate Program in Genetics and Evolutionary Biology (University of São Paulo, Brazil)

A written examination on contents of evolutionary biology, cellular biology and genetics was applied to all prospective graduate students, and I obtained 9.410 score, first place.

Recent Posts



Recent & Upcoming Talks

Contributed Talks

Polygenic risk scores (PRS) can be used to summarize the results of genome-wide association studies (GWAS) into a single number …

The vast majority of genome-wide association studies (GWAS) are performed in cohorts of European ancestry. Systematic differences in …

Recent Publications

© 2017 The Author(s) Several decades of research have convincingly shown that classical human leukocyte antigen (HLA) loci bear …

© 2015, Springer Science+Business Media New York.The classical class I HLA loci of humans show an excess of nonsynonymous with respect …