Seralogix Management and Science Team
Chief Technology Officer and Founder
Dr. Drake is a veteran entrepreneur with extensive background in medical device, software, and services businesses, both in early stage and public companies. He is the key visionary, founder, and CTO for Seralogix. He has over twenty-five years of experience in the medical and defense industries where he has held numerous scientific and leadership positions. Prior to founding Seralogix, Dr. Drake's research and development focused on genomic and proteomics-based mechanistic discovery and bioinformatics as a solution for making break throughs in disease understanding and interventions. He obtained his Ph.D. in biomedical/electrical engineering, and an MS in electrical engineering from the University of Michigan, Ann Arbor, MI. He also holds an MS in Bioengineering from the University of Miami, Coral Gables, FL.
Senior Scientist, Next Generation Technologist
Dr. Siddavatam is a computational biologist developing software solutions for processing next generation sequencing data and the analysis and interpretation of such data. His research interest includes 1) high-throughput data integration and exploitation of 'omics' data for systematic understanding of molecular mechanisms of complex biological problems through computational and statistical applications, and 2) systems modeling of infectious diseases using network graphical models to identify the biomarkers of infection. He earned his Ph.D. from Purdue University, West Lafayette, IN, in 2012 in Computational Biology and a M.Sc. in 2000 in Plan Pathology from CCS Haryana Agricultural University, Hisar, India.
Senior Scientist, Bayesian Technologist
Dr. Gardner is a computational cellular and molecular biologist developing software solutions for systems biology analysis and modeling based on Bayesian machine learning principals. His initial training was in computer science and mathematics, but completed his Ph.D. in Cellular and Molecular Biology. Dr. Gardner has specialized in computational biology focusing on the comparative analysis of RNA sequences. He has extensive training and experience in applying statistics to solve biological problems with a focus on dynamic Bayesian networks. He has worked for over ten years in the IT industry. He earned his Ph.D. in Cellular and Molecular Biology in 2012, and a M.S. in Computational and Applied Mathematics in 2002, both from the University of Texas, Austin, TX.