Marina is currently an Assistant Professor at the Institute for Computational Health Sciences at UCSF. Her lab is interested in developing computational methods in integrative biology and applying these approaches in the context of disease diagnostic and therapeutics. She has extensive background in bioinformatics and data integration in the context of drug repositioning, drug target identification, clinical and molecular data analysis. Marina has a long standing interest in studying genetic architecture in complex disease as well as novel applications of next-generation sequencing techniques with a special focus on autoimmune disease.
Prior to that she was the Lead Research Scientist in the Division of Systems Medicine at Stanford University and has worked as a Senior Research Scientist at Pfizer where she focused on developing Precision Medicine strategies in drug discovery. At Pfizer, Marina applied Quantitative Genotherapeutics (AQG lead by David Cox, Jaume Pons) and collaborated with several academic and internal groups to design and implement genetic studies to identify novel drug targets and find patient stratification markers in the context of metabolic disease and cancer. She Explored the applications of human immune repertoire sequencing and analysis to study Multiple Sclerosis. She also provided computational biology expertise and worked in a cross-disciplinary team to enable more efficient therapeutic antibody screening and development.
Marina completed her Ph.D. in Biomedical Informatics at Stanford University, where her graduate work focused on predicting drug-disease relationships based on gene expression to identify novel therapeutic indications for known drugs. Her primary focus is on leveraging and integrating different types of omics and clinical data to better understand the role of the immune system in disease.