Big data is transforming our lives. It affects our everyday choices by suggesting friends to our social network, offer products while shopping and finding the best route driving home. But our lives are affected by big data in a much more immediate way: it is revolutionizing our health. For the first time in the history of medical research we generate more data than we can handle (see http://www.wired.com/wiredscience/2013/10/big-data-biology/). I am excited being part of this revolution and contribute by helping to analyze and understand biological big data.
As a postdoctoral associate with Jonathon Howard at Yale University I am combining my knowledge of RNA-seq data with mathematical description of biological processes. I apply classification algorithms, hypothesis testing and generate probabilistic models to understand regulation of gene expression. This project on the interface of biology, statistics and computer science is a continuation of work I started as a guest scientist at the Max-Planck-Institute for the Physics of Complex Systems. Please download my CV here.