David Koslicki

Education

2006 BS in Theoretical Mathematics, Washington State University, Pullman, WA

2012 PhD in Mathematics, The Pennsylvania State University, University Park, PA

Postdoctoral Training

2012 Postdoc, Mathematics and EECS, Drexel University, Philadelphia, PA

2012-2013 Postdoc, Mathematical Biosciences Institute, Ohio State University, Columbus, OH

Awards

2018 College of Science Impact Award, Oregon State University

2016 Carter Award for Outstanding and Inspirational Teaching nominee, Oregon State University

2011 “First Year Experience” Teaching recognition recipient, Penn State University

Research Interests

My lab is interested in developing efficient algorithms to extract insight from high-throughput sequencing data. We focus on developing new compressive sensing, probabilistic, and optimization algorithms for this task, as well as proving results about their properties. While the scope of this computational biology effort is wide (touching on ecology, systems biology, etc.), we specialize in the analysis of metagenomic data: the study of microbial communities through their sampled DNA. We are passionate about fostering an interdisciplinary community of methods developers in computational biology and help to run the Computational Genomics Summer Institute at UCLA. Koslicki is also a member of the Critical Assessment of Metagenomic Interpretation consortium which helps to set standards and protocols in metagenomic analysis.