I have a background in academic research, with experience in pharmaceutical drug development, Molecular Biology, Genetics, and Genomics. With the advent of high-throughput experimentation in Biology, I transitioned from the wet lab to computational data analysis, particularly in the field of Genomics.
Currently I am a postdoctoral researcher with the Biomedical Computer Vision Group (BMCV) at Heidelberg University, Germany. Our research group "develops methods and algorithms for computer-based analysis of biological and medical images". My focus is on the use of Deep Learning for Cancer Imaging Genomics, the multi-scale data fusion field combining high-throughput Genomics and medical imaging data.
Beyond my research work, I am interested in computational data analysis more generally, or Data Science. I like to dabble in Computer Science, Math, Statistics, and Machine Learning.
Data Simple is a blog-like collection of articles about Data Science, focusing on Python and R.