Chiara Sabatti

Chiara grew up in Brescia, Italy and obtained a master’s degree in “Economics and Social Sciences” (DES) from the Bocconi University in Milan in 1993. She came to Stanford in 1994 to pursue a PhD in Statistics, and worked with Jun Liu on multiscale MCMC methods. Between 1998 and 2000, she was a post-doctoral scholar, working with Neil Risch in Stanford’s Department of Genetics, and she was dazzled by the power of statistical methods in the booming field of genetics. In 2000, she joined the faculty at UCLA in the newly established departments of Human Genetics and Statistics. She returned to Stanford in 2009, with appointments in Health Research and Policy and in Statistics.

Chiara was one of the founding members of the new Department of Biomedical Data Science, where she now serves as Associate Chair of Education and Training. Since 2010, Chiara has served as Faculty Director of the longstanding  Workshop in Biostatistics series, which provides a key educational opportunity for students and faculty alike. She is involved in the Stanford Data Science Initiative, and her work is partly supported by an NSF grant which encourages collaboration across many Data Science Hubs across the United States. She also serves as the Associate Director of the Undergraduate Major in Mathematical and Computational Science program, also known as Stanford’s Data Science Major. For the last two years, she has served as a faculty mentor in the summer Data Science for Social Good fellowship program. She is happiest when working through a hard problem with students and she never turns down the opportunity for a philosophical chat

Paul J (PJ) Utz

My lab works closely with the Khatri lab to validate and extend bioinformatics discoveries using MetaSignature and other algorithms developed by the Khatri lab. The focus of the lab is on (i) development and implementation of multiplexed assays, including protein and peptide arrays, CyTOF, transcript profiles, and more recently EpiCyTOF; and (ii) discovery of biomarkers and druggable targets for many autoimmune, inflammatory, immunodeficiency, and infectious diseases.

Samson Tu

Modeling of biomedical ontologies and clinical guidelines and protocols, development of knowledge-based systems, knowledge representation, databases, temporal database and temporal reasoning, protocol-based health care.