unculturable bacteria in environmental samples for discovery of novel antibiotics and other microbial products.
In addition to her research program, Dr. Handelsman is nationally known for her efforts to improve science education and increase the participation of women and minorities in science at the university level. She co-founded the Women in Science and Engineering Leadership Institute at UW–Madison, which has designed and evaluated interventions intended to enhance the participation of women in science. Her leadership in women in science led to her appointment as the first President of the Rosalind Franklin Society and her service on the National Academies’ panel that wrote the 2006 report Beyond Bias and Barriers: Fulfilling the Potential of Women in Academic Science and Engineering.
Dr. Handelsman is co-author of three books about teaching: Entering Mentoring, Scientific Teaching, and Biology Brought to Life. She co-edits the series Controversies in Science and Technology. She is a fellow in the American Academy of Microbiology, Wisconsin Academy of Arts and Sciences, and the AAAS; member of the Connecticut Academy of Science and Engineering; director of the Center for Scientific Teaching at Yale; and co-director of the National Academies Summer Institute on Undergraduate Education in Biology. She was elected to serve as president of the American Society for Microbiology (ASM) 2013-2014; has received numerous awards in recognition of her mentoring, teaching, and research contributions; and in 2009, Seed magazine named her “A Revolutionary Mind” in recognition of her unorthodox ideas. In 2011, she was one of 11 individuals selected by President Barack Obama to receive the Presidential Award for Excellence in Science, Mathematics, and Engineering Mentoring and recently co-chaired a working group that produced the report to the President, Engage to Excel: Producing One Million Additional College Graduates with Degrees in Science, Technology, Engineering, and Mathematics, about improving STEM education in postsecondary education.
Susan Holmes, Ph.D., is professor in statistics at Stanford University and is a specialist in nonparametric complex multivariate data analyses. She has specialized in combining spatiotemporal multivariate information with abundance and clinical data. In particular, she has studied the genetic network perturbation problem, providing the open-source software GXNA for finding a small subnetwork that is the most perturbed between two conditions. This has led to important applications in cancer biology. She has also designed methods that extend ordinary correlation analyses to multitable approaches using relevant weighting schemes and the multitable RV coefficient. This enables the user to do a “PCA” of PCAs and thus integrate many different tables, seeing what they have in common and what differentiates them. This is particularly useful for combing metagenomic, phylogenetic, and metabolic data in the microbiome context. Her group has developed a Bioconductor tool, Phyloseq, specifically for combining phylogenetic tree, abundance, and clinical data into a unique structure. This package enables