Pavel P. Kuksa, PhD

Erdös Number: 3

Einstein Number: 5

Research Assistant Professor
Perelman School of Medicine,
University of Pennsylvania

Postdoctoral Scientist
Machine Learning Department,
NEC Laboratories America, Princeton, NJ


Ph.D. Candidate
Department of Computer Science,
Rutgers University,
110 Frelinghuysen Road,
Piscataway, NJ 08854

Curriculum vitae (CV) [pdf]
Publications
Teaching
Talks
Software
Statement of Research Interests (pdf)
Statement of Teaching Interests (pdf)

 

I am a Research Assistant Professor in the Department of Pathology and Laboratory Medicine, University of Pennsylvania, Perelman School of Medicine and Senior Fellow in the Institute for Biomedical Informatics at the University of Pennsylvania. Previously, I was a postdoctoral scientist at NEC Laboratories America, Inc. in the Machine Learning department. Before that, I was working on my Ph.D. at the Department of Computer Science at Rutgers University, where I was affiliated with Rutgers Sequence Analysis and Modeling Lab (SeqAM). My main research interests include applied machine learning, sequence modeling and analysis, biomedical informatics, natural language processing, algorithms, pattern recognition, text and data mining, and computer vision. I got a bachelor's degree in Computer Engineering (2002) and M.Sc. in Information and Computer Sciences (2004) from the Bauman Moscow State Technical University, Moscow, Russia. Full biography

Education

2005-2011 PhD in Computer Science
Rutgers University
Advisor: Vladimir Pavlovic
Ph.D. thesis: Scalable Kernel Methods and Algorithms for General Sequence Analysis
Dissertation committee: Vladimir Pavlovic, Casimir Kulikowski, Alexander Schliep, Christina Leslie
2002-2004 M.Sc. in Computer Science
Bauman Moscow State Technical University
1998-2002 B.Sc. in Computer Engineering
Bauman Moscow State Technical University

Publications

See also my Google Scholar page

Curriculum vitae

Teaching

Research highlights


 

Selected achievements

 

Contact information:

University of Pennsylvania
423 Blockley Hall

E-mail: pkuksa at upenn dot edu
pkuksa at cs dot rutgers dot edu

Web: http://pkuksa.org