Daniel C. Levings, PhD

I am a bench scientist turned computational biologist with a diverse research background spanning the fields of coral reef ecology, biofuels chemistry, stem cell biology, genetics, cancer biology/oncology, transcription factor biology, oxidative stress, immunology and more.  I have worked in both 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, SQL, 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, first as a postdoc and then a Research Scientist, 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 (from biomedical databases like ENCODE, TCGA, GTEx, GDC, STRINGdb, etc), high-throughput sequencing data (generated both in the Slattery lab and other labs), genome sequence data, and other large data sets. 

If you'd like to see examples of past deliverables I have produced in my work, check out my Digital Portofolio, which includes: Publications, Posters, Presentations, Learning materials for courses/lessons I have taught, and descriptions of Past Research Projects. Please click on CV if you'd like more comprehensive documentation of my background and past experience.