University of Pennsylvania Training Program in
Computational Biology
The University of Pennsylvania has an interdisciplinary
training program for PhD students and postdoctoral
researchers in computational biology.
Graduate students are admitted through one of the
core programs (Computer and Information Science,
Statistics, Molecular Biology, or Genetics) and
receive a PhD in that core area, as well as
additional training in Biology.
Applicants for the program who are also permanent
residents or American citizens may be supported by
the NSF grant which started this program. The
postdoctoral salary is $40K and includes generous
travel and equipment funds.
Areas of interest include:
biological databases,
multiple sequence alignment,
molecular evolution and phylogeny construction,
physical and genetic mapping,
sequence search and analysis,
statistical methods,
discrete algorithms and combinatorial
optimization in biology.
The research training program provides core training
in molecular biology and genetics, discrete algorithms,
mathematical modelling, and probability and statistics,
so that important biological problems can be addressed
effectively through a collaborative effort between
researchers in these different fields.
Advanced training draws on the expertise of the faculty, and
includes both advanced seminars and laboratory research
opportunities.
For information on how to apply, please see the end
of this message.
Participating faculty include the following:
Peter Buneman (Computer and Information Science):
Programming languages: applicative
and functional languages, type systems.
Fan Chung (Mathematics):
Combinatorics and algorithms.
Susan Davidson (Computer and Information Science):
Real-time database systems: language
support and formal methods for distributed real-time programs.
Arthur Dunham (Biology): Mathematical models at the interface
of physiological ecology and population dynamics.
Joe Ecker (Biology):
Biochemical mechanisms involved in plant hormone signalling;
genome mapping.
Warren Ewens (Biology):
Mathematical population genetics.
Ellis Golub (Biochemistry, Dental School):
The relationship between protein sequence, structure and
function.
Greg Guild (Biology):
Sequential activation of ecdysone-regulated genes in
Drosophila development; mechanisms of
transcriptional regulation.
Aravind Joshi (Computer and Information Science):
Problems that overlap computer science and linguistics.
Sampath Kannan (Computer and Information Science):
algorithms in computational biology, complexity theory,
randomization and computation.
Haig Kazazian (Genetics):
The analysis of mutational mechanisms in humans.
Steve Liebhaber (Genetics):
DNA structure-function relationships.
Mitch Marcus (Computer and Information Science):
Natural language processing.
Max Mintz (Computer and Information Science):
Decision making under uncertainty.
Chris Overton (Genetics):
Genome informatics and biological databases.
Peter Petraitis (Biology):
Community ecology of marine ecosystems:
theoretical ecology.
David Roos (Biology):
Molecular genetics and cell biology of protozoan parasites; Host-pathogen
interactions; Eukaryotic evolution.
David Searls (Genetics):
Linguistics of biological sequences; genome informatics.
Neil Shubin (Biology):
Evolution of developmental patterns; origins of the vertebrate limb;
Comparative molecular and paleontological phylogenies.
Eero Simoncelli (Computer and Information Science):
Representation and analysis of visual imagery:
distributed parallel representation and computation.
Rich Spielman (Genetics):
Genetics of susceptibility to complex human diseases.
Chris Stoeckert (Children's Hospital of Philadelphia):
Understanding the regulation of fetal and adult globin genes in human
adults.
Santosh Venkatesh (Electrical Engineering):
computational learning theory.
Tandy Warnow (Computer and Information Science):
combinatorial and graph-theoretic algorithms for
evolutionary tree construction.
All applicants (predoctoral and postdoctoral) to this interdisciplinary
program should contact:
Computational Biology Training Program
Department of Biology
University of Pennsylvania
Philadelphia, PA 19104-6018
compbio at central.cis.upenn.edu
Admission to the predoctoral program requires acceptance
into a regular PhD program at the University
of Pennsylvania. For application materials
contact one of the following:
Graduate Admissions
Department of Computer and Information Science
200 S. 33rd Street
University of Pennsylvania, Philadelphia PA 19104-6389
Graduate Admissions
Department of Biology
University of Pennsylvania
Philadelphia, PA 19104-6018
Biomedical Graduate Studies (Molecular Biology)
240 John Morgan
University of Pennsylvania
Philadelphia, PA 19104-6064
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Please return this form with the information filled out to
Computational Biology Training Program
Department of Biology
University of Pennsylvania
Philadelphia PA 19104-6018
compbio at central.cis.upenn.edu
Computational Biology at Penn
Application
Name
U.S. Citizen, Permanent Resident, or other?
Address
Email
Fax
Phone
Degree(s)
Coursework (undergraduate and graduate) in Mathematics, Computer Science,
Probability and Statistics:
Coursework (undergraduate and graduate) in Biology, Molecular Genetics, etc.:
Coursework (undergraduate and graduate) in other relevant disciplines:
Undergraduate GPA and institution
Graduate GPA and institution
Research interests
