Eric Rouchka

Associate Professor, Computer Engineering & Computer Science

About

Eric C. Rouchka, D.Sc. is the Director of the University of Louisville Bioinformatics and Biomedical Computing Laboratory. He is currently an Associate Professor in the Department of Computer Engineering and Computer Science at the University of Louisville's Speed School of Engineering where he is heavily involved with the Kentucky Biomedical Research Infrastructure Network.

He earned his Doctor of Science (D.Sc.) degree in Computer Science degree from Washington University in St. Louis in 2002. Members of his final dissertation committee include: Warren Gish, Ron Cytron, Sean Eddy, Wiexiong Zhang, Michael Brent, and David States.

From 1994-1996, he was at Rennselaer Polytechnic Institute in Troy, New York, where he worked with Chip Lawrence on modifications to Gibbs Sampling routines. He earned undergraduate degrees in Computer Science, Biology, and Mathematics from Rockhurst College in Kansas City, Missouri.

Teaching Interests

While at the University of Louisville, Dr. Rouchka has taught a wide variety of courses, including:

  • CECS 302 Data Structures
  • CECS 310 Discrete Structures
  • CECS 420 Operating Systems
  • CECS 640 Internet Application Development and Design
  • CECS 660 Introduction to Bioinformatics
  • CECS 694 Current Topics in Bioinformatics
  • CECS 694 Bioinformatics Journal Club

 

In addition, Dr. Rouchka has guest lectured in a number of courses at the University of Louisville Health Science Campus, including ASNB Journal Club, Biochemistry, and Cell Biology.

Research Interests

Dr. Rouchka's current research interest is in the areas of developing algorithmic approaches for understanding transcriptional and translational control in genomic sequences through the use of high-throughput molecular biology techniques such as microarrays and next generation sequencing.  He has additional interest in microarray analysis, genomic segmentation, contig assembly, sequence assembly validation, location of large scale polymorphic sites, single nucleotide polymorphism (SNP) analysis, repeat analysis, genomic evolution, and sequence motif detection.

His general areas of expertise lie in bioinformatics, computational biology, big data, and next-generation sequence analysis.

Visit Dr. Rouchka's Bioinformatics Research Lab website