Pavel P. Kuksa, PhD

Erdös Number: 3

Associate Fellow
Institute for Biomedical Informatics
School of Medicine
University of Pennsylvania


Postdoctoral Scientist
Machine Learning Department,
NEC Laboratories America,
4 Independence Way,
Princeton, NJ 08854


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 currently an associate fellow in the Institute for Biomedical Informatics at the University of Pennsylvania and a postdoctoral researcher in the Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine. 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 bachelor's degree in Computer Engineering (2002) and M.Sc. in Information and Computer Sciences (2004) from Bauman Moscow State Technical University (Moscow, Russia). Full biography

Education and Training

2014-now Postdoctoral Fellow
Perelman School of Medicine, University of Pennsylvania
Mentor: Li-San Wang
2005-2011 PhD in Computer Science
Rutgers University
Advisor: Vladimir Pavlovic
Ph.D. thesis: Scalable Kernel Methods and Algorithms for General Sequence Analysis
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

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