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David Koslicki is an Associate Professor in the Eberly College of Science at Pennsylvania State University. His research focuses on developing efficient algorithms to extract insights from high-throughput sequencing data. Within computational biology, his work spans a wide range of topics including ecology and systems biology, with a specialization in the analysis of metagenomic data. This involves the study of microbial communities and the application of new compressive sensing, probabilistic, and optimization algorithms. Koslicki is dedicated to fostering an interdisciplinary community among methods developers in computational biology and helps run the Computational Genomics Summer Institute at UCLA. He is also a member of the Critical Assessment of Metagenomic Interpretation consortium, which is focused on setting standards and protocols for metagenomic analysis.
Drexel University • Philadelphia, PA
Conducted postdoctoral research in Mathematics EECS.
Mathematical Biosciences Institute, Ohio State University • Columbus, OH
Completed postdoctoral training focusing on mathematical biosciences.
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