Scientific Liaisons

The primary responsibility of the scientific liaisons is to foster development and application of applied computational methodologies within existing individual laboratories and research programs at UTHSCSA and UTSA. These individuals, who are Ph.D.-level instructors at their respective institutions, will serve as "embedded troops" for a period of 4 months to 6 months and will be responsible for identifying opportunities within each research laboratory to apply computational methods to facilitate research. Specifically, the liaisons will assist in experimental design, development of analysis plans, and identification of training needs in computational techniques.

It is expected that these individuals will also identify lab personnel, including graduate students, who would benefit from advanced training in bioinformatics and computational biology.

Current Liaisons

Carolina B. Livi, Ph.D.

Carolina B. Livi, Ph.D.

Dr. Livi has joined the computational biology initiative as the first liaison working in the facility. She is appointed in the Department of Epidemiology and Biostatistics at UTHSCSA. She has a doctorate in Developmental Biology from Caltech, and her work focuses on analysis of transcriptional regulation. She has computational experience with annotation of cis-regulatory regions using sequence analysis tools and building realistic gene regulatory networks from gene expression data.

Carolina B. Livi, Ph.D.
Assistant Professor/Research
livi@uthscsa.edu
Phone: 210-562 5270
Fax: 210-562 5292

pubmed publications

Allan D. Coop

Allan D. Coop, PhD

Dr. Coop is the second liaison to join the Computational Biology Initiative. He holds an appointment in the Department of Epidemiology and Biostatistics at UTHSCSA. He has a doctorate in computational neuroscience from the John Curtin School of Medical Research at the Australian National University. He is experienced in the development and analysis of biologically plausible models of both single neurons and neural circuits. While a Research Associate at the Rockefeller University he developed Information Theoretic algorithms for the analysis of biological data ranging from nucleotide sequences and micro array data to the behavior of freely moving animals such a nematodes, fruit flies, and mice.

Allan D. Coop, PhD
Instructor and Liaison
coop@uthscsa.edu
(210) 458-5863