Speaker Profile

Ph.D., Professor, Neurology, The California Institute for Quantitative Biology (QB3), UCSF

Biography
Dr. Baranzini’s current research involves large genomic studies in MS patients to characterize the overall risk and activity of genes during different stages of the disease, differential response to treatment, and disease progression. His research also involves immunological studies using the EAE model, sequencing of whole genomes and transcriptomes from patients with MS and developing bioinformatics tools to integrate this information with that coming from other high throughput technologies. In addition, Dr. Baranzini collaborates with several interdisciplinary teams worldwide to computationally integrate all the available knowledge obtained in different research domains. He also leads the iMSMS, an international consortium to study the effect of bacterial populations (microbiota) on MS susceptibility and progression. Dr. Baranzini earned his degrees in clinical biochemistry (1992) and PhD in human molecular genetics (1997) from the University of Buenos Aires, Argentina.


 Session Abstract – PMWC Silicon Valley


Data science in combination with new tools help predict which patients will benefit most from health care interventions. Session contributors are representatives from medical organizations discussing various data science applications and their approaches to using data and predictive modeling to analyze and identify meaningful patterns that result in better patient outcomes.