Pavel P. Kuksa is a postdoctoral researcher at University of Pennsylvania School of Medicine in the Department of Pathology and Laboratory Medicine (Li-San Wang Lab). He is also an Associate Fellow in the Institute for Biomedical Informatics.
Prior to joining UPenn, he was a postdoctoral scientist in the Machine Learning Department at NEC Labs America in Princeton from 2011 to 2014 working in bioinformatics and machine learning.
Pavel completed his Ph.D. at Rutgers University in Computer Science with Sequence Analysis and Modeling (SeqAM) group in 2011. He received a B.S. degree with Honors in Computer Engineering and an M.S. degree with Honors in Information and Computer Sciences from the Bauman Moscow State Technical University, Moscow, Russia in 2004.
Pavel does research in the fields of applied machine learning, sequence analysis and modeling, biomedical informatics, and natural language processing. His research is inherently multi-disciplinary.
He has extensive experience in large-scale analysis and modeling in natural language processing, biological sequence analysis, text mining, genomics, and proteomics.
He has actively collaborated with researchers in other diverse disciplines of computer and biological sciences: in particular, in the areas of RNA biology, immunology, algae biotechnology, plant biology, and structural protein biology.
Dr. Kuksa have published extensively in renowned international conferences and journals in the field (NIPS, KDD, SDM, ICDM, ICPR, ECML, JMLR, Bioinformatics, etc).