Dr. Daniel Levings

I am a bench scientist turned computational biologist with a diverse background spanning research in coral reef ecology, biofuels chemistry, stem cell biology, genetics, cancer biology, transcription factor biology, oxidative stress, immune biology and more.  I have worked both in industry at the immunosequencing biotech Adaptive Biotechnologies and in academic labs at the University of Minnesota. 

As a Computational Biologist II at Adaptive, I worked at the intersection of the adaptive immune system and cancer biology. In this role, I used Python, shell scripting, high performance computing, Docker and more to support Adaptive's Private Product laboratory, which aims to identify (and, in collaboration with Genentech, produce) personalized T-cell receptor cancer therapeutics. 

At the University of Minnesota, I supported research and collaborations with the laboratory of Dr. Matthew Slattery; there, I facilitated novel biological discoveries through integrative analysis of a variety of data including: Big Data (such as large biomedical databases like TCGA and ENCODE), high-throughput sequencing data (generated both in the Slattery lab and other labs), genome sequence data, and other large data sets. 

Please click on Past Research Projects to see a list of projects I have or am currently working on, or on CV for a more complete view of my background.