Contact

Dennis Pic

Dennis Wall: dpwall [at] stanford [dot] edu

Dennis Wall is an Associate Professor of Pediatrics at the Stanford University School of Medicine, where his lab is developing novel approaches in systems biology to decipher the molecular pathology of autism spectrum disorder and related neurological disorders.

Dr. Wall received his doctorate in Integrative Biology from the University of California, Berkeley, where he pioneered the use of fast evolving gene sequences to trace population-scale diversification across islands. Then, with a postdoctoral fellowship award from the National Science Foundation, he went on to Stanford University to address broader questions in systems biology and computational genomics, work that resulted in comprehensive functional models for both protein mutation and protein interaction.

Dr. Wall has acted as science advisor to several biotechnology and pharmaceutical companies, has developed cutting-edge approaches to cloud computing, and has received numerous awards, including an NSF postdoctoral fellowship, the Fred R. Cagle Award for Outstanding Achievement in Biology, the Vice Chancellor's Award for Research, three awards for excellence in teaching, and the Harvard Medical School Leadership award.



Rachel Pic

Rachel Goldfeder: rlg2 [at] stanford [dot] edu

Rachel Goldfeder is a graduate student in the Biomedical Informatics PhD Program who is interested in clinical applications of next-generation sequencing and personal genomes.

She grew up in Houston, Texas, and attended Washington University in St. Louis, where she majored in Biomedical Engineering. After graduating, she continued her training at the National Human Genome Research Institute at the NIH as a Post-Baccalaureate Fellow. During this time, her research focused on identifying disease-causing genetic variants from analyses of exome sequencing data.

Currently, as an NSF fellow in the Ashley lab at Stanford, Rachel is developing methods for medical-grade variant detection, with the long-term goal of enabling the common use of genomic information in patient care.