The Stimulomics Founders
Sarah Aerni
After graduating in 2005 from University of California, San Diego with a
degree in Biology with a specialization in bioinformatics,
Sarah joined the PhD program in Biomedical
Informatics at Stanford. Now in her third year, she works on studying gene
expression through analyzing 3D images obtained from confocal microscopes.
She has previous experience in the analysis of
cancer genomes using primary sequence analysis, paired-end sequencing and
copy number variation. In addition, she has worked with motif finding and SNP data.
Robert Bruggner
Robert Bruggner, currently a PhD student in the Biomedical Informatics Training program at Stanford, holds a
Bachelors of Science in Computer Engineering and a Masters of Science in Biology from the University of Notre Dame.
Prior to Stanford, he spent three years as a software architect for the NIAID Bioinformatics Resource Center vectorbase.org
and another with the Berkeley Bioinformatics and Ontologies group. Robert's research interests lie in genomics,
integrative and semantic web technologies, and service-oriented architecture.
David Chen
David Chen has a Bachelor of Science Degree from the University of Southern California in Computer Science, a Masters of Science from the Johns Hopkins University in Bioinformatics, and is currently a PhD student in the Biomedical Informatics Training Program at Stanford University. He spent two years at the National Institutes of Health under the auspices of the Department of Diagnostic Radiology applying and developing methods of image segmentation for MRI scans. His current interests lie in translational biomedical informatics and the application of statistical tools to multi-modal models of the human physiome. He has had significant experience integrating transcriptomic data and clinical data.
Alex Morgan
Alex Morgan is currently a PhD candidate in Biomedical Informatics at Stanford University. With previous degrees in physics and biology, coupled
with over 6 years of research and management experience in industry, he bring a diverse range of skills to problems in data-analysis and information
management for biomedical research. Alex has direct research experience working on many types of analysis including microarray measurements of mRNA
expression and SNPs/CNVs, gene and protein sequence analysis, chemoinformatic representations of drugs and small molecules, clinical record mining,
and natural language text processing. He has collaborated with bench lab researchers, clinicians, computer scientists, and statisticians.
Nick Tatonetti
Nick Tatonetti graduated magna cum laude from Arizona State University with dual bachelors of science degrees in Computational Mathematics and Molecular Biosciences/Biotechnology. Now a first year graduate student in the Biomedical Informatics PhD program at Stanford University, Nick's current interests revolve around the development and implementation of novel computational methods in the fields of pharmacogenomics and translational bioinformatics. His previous work in systems biology focused on the development of software to automate the modeling and analysis of metabolomic networks.
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