Scientific Advisory Board
TODD P. MICHAEL, PHD
Dr. Michael recently joined J. Craig Venter Institute in La Jolla as Professor and Director of Informatics. Dr. Michael is an internationally known expert in sequencing and analyzing plant genomes. From 2009 to 2013, Dr. Michael led the Genome Center at Monsanto. Prior to Monsanto, as an Assistant Professor at Rutgers University, Dr. Michael’s lab investigated the environmental factors that modulate the epigenome in plants and animals. Dr. Michael received his BA in Biology from University of Virginia, PhD in Molecular Genetics from Dartmouth College and was a Postdoctoral Fellow at The Salk Institute of Biological Studies.
JUSTIN BOREVITZ, PHD
Dr. Borevitz obtained his PhD in 2002 from the University of California at San Diego with Joanne Chory studying Natural Variation in Arabidopsis light response. Postdoctoral research was with Joseph Ecker (2002-2004) at the Salk Institute focused on genomic diversity in Arabidopsis using tiling microarrays. He then started as assistant and associate professor in the Dept. of Ecology and Evolution at the University of Chicago (2004 until 2012). This research focused on Genome Wide Association Studies in Arabidopsis and next generation genotyping by sequencing in emerging model organisms. In 2012 he started at the Australian National University (ANU) where current work is identifying the genetic basis of local adaptation to seasonal climates using Phenomic and Landscape Genomic approaches in plant model organisms and foundation species. https://borevitzlab.anu.edu.au
Mr. Cline’s work focuses on developing bioinformatics pipelines for sequence analysis and assembly. Areas of expertise are automated procedures for SNP discovery and annotation, transcriptome sequence analysis, reference transcriptome assembly, relational database development for the storage, retrieval and analysis of genomic data, gene prediction and gene predictor training, structural and functional genome annotation, QTL mapping, and development of high-performance computing infrastructure for bioinformatics analysis.
After earning an undergraduate degree in engineering, MS in Geographic Information Systems, and a post-graduate diploma in mathematics and statistics he is currently in his last year of a PhD in computational science. His research focuses on the application of machine learning and GPU computing to reduce noise and redundancy in low-coverage, short-read sequence alignments.