A Computational Biology and Biomedical Genomics Training Program at the Georgia Institute of Technology

A Computational Biology and Biomedical Genomics Training Program 

Statement of Purpose

In 2014 we received a five year T32 Training Grant from the NIH to establish a Computational Biology and Biomedical Genomics training program at Georgia Tech. The goal of our program is to provide training for a broad-based set of students with expertise in computational biology and predictive health, which encompasses research from integrative genomics to medical informatics.  We intend to support 4 students per year, mostly students in their second and third years and most for a 2 year term, chosen on the basis of productivity and potential as evidenced by their performance in the first year of the program.  The trainees will be drawn from students in multiple Colleges at Georgia Tech including the Bioinformatics program, Schools of Biological Sciences, Biomedical Engineering, Computer Science, Industrial Systems Engineering, and others.  We will establish a common curriculum with two tracks, namely systems biology and personalized medicine, aiming to have between 10 and 20 new students per year engaged in training in these fields of research, including appropriate mentoring and guidance in personal development.


Current Trainees

Evan Clayton (Bioinformatics - John McDonald and King Jordan groups)
Research Summary: Analyzing allele specific expression patterns between paired normal and tumor tissues to discover novel oncogenes, identify a defense mechanism or predict cancer susceptibility.

Melissa Lokugamage (Biomedical Engineering - James Dahlman group)
Research Summary: Using DNA barcoding technology to study how nanoparticles function in vivo, to find candidates for gene therapies.

Angela Mo (Bioinformatics - Greg Gibson group)
Research Summary:  Analyzing multi-omic data to predict severity and course of inflammatory bowel disease in pediatric and minority groups.

Devika Singh (Bioinformatics - Soojin Yi group)
Research Summary: Using evolutionary principles and epigenetic mechanisms to analyze the underlying molecular features of complex neurological diseases.

Training Faculty

Greg Gibson, Biological Sciences, Quantitative genetics of gene expression and disease, http://www.cig.gatech.edu/research

Michael Goodisman, Biological Sciences, Behavioral genetics of social insects, epigenomics, http://www.goodismanlab.biology.gatech.edu/

King Jordan, Biological Sciences, Computational genomics, transposable element function, http://jordan.biology.gatech.edu/page/

Kostas Konstantinidis, Biological Sciences and Civil and Environmental Engineering, Metagenomics in ecology and disease, http://enve-omics.gatech.edu/

Al Merrill, Biological Sciences, Lipidomics, role of sphingolipids in cellular health, http://www.biology.gatech.edu/people/al-merrill

Jeffrey Skolnick, Biological Sciences, Systems biology, predicting protein-drug interaction, http://cssb.biology.gatech.edu/

Todd Streelman, Biological Sciences, Evolutionary developmental genomics of dentition, brain, http://www.biology.gatech.edu/people/todd-streelman

Fred Vannberg, Biological Sciences, GWAS of infectious disease, exosome genome biology, http://vannberg.biology.gatech.edu:8080/VannbergLab/home.html

Joshua Weitz, Biological Sciences, Mathematical biology, viral evolution, pattern recognition, http://ecotheory.biology.gatech.edu/

Soojin Yi, Biological Sciences, Population genetics and theoretical molecular evolution, http://www.yilab.gatech.edu/

Ed Botchwey, Biomedical Engineering, Tissue engineering, microvasculature, network theory, http://botchweylab.gatech.edu/

Melissa Kemp, Biomedical Engineering, Systems modeling of T cells, single cell profiling, http://kemp.gatech.edu/

Manu Platt, Biomedical Engineering, Arterial remodeling in sickle cell, chondrocyte biology, http://groups.bme.gatech.edu/groups/platt/

Eberhard Voit, Biomedical Engineering, Mathematical modeling, systems theory, http://www.bst.bme.gatech.edu/

May Wang, Biomedical Engineering, Medical image processing, genomic data analysis, http://www.bio-miblab.org/

Mark Styczynski, Chemical and Biomolecular Engineering, Metabolomics and systems/network modeling in yeast, http://styczynski.chbe.gatech.edu/

David Bader, Computer Science, High performance computing in biology, http://www.cc.gatech.edu/~bader/

Mark Borodovsky, Computer Science, Bioinformatics, DNA sequence alignment and annotation, http://bioinfo.gatech.edu/about.html

Jimeng Sun, Computer Science, Big data applications for biomedical informatics, http://www.sunlab.org/

Eva Lee, Industrial and Systems Engineering, Data mining applications in predictive health, http://www2.isye.gatech.edu/~evakylee/medicalor/

Nicoleta Serban, Industrial and Systems Engineering, Statistical applications in genomics and health systems, http://humanitarian.scl.gatech.edu/node/335

Harold Kim, Physics, Biophysics, transcription factor-DNA interaction, https://sites.google.com/site/haroldkimlab/


Executive Committee

Greg Gibson, School of Biological Sciences, Training Program Director

King Jordan, School of Biological Sciences, Director Bioinformatics Graduate Program

Melissa Kemp, School of Biomedical Engineering

Nicoletta Serbin, School of Industrial and Systems Engineering