Karen Sachs, PhD Research Scientist in the School of Medicine, Stanford University “Causal Learning in Signaling Networks”
Presenter: Kun Zhang, PhD, Assistant Professor of Philosophy, Carnegie Mellon University Paper: TBA
Teresa M. Przytycka, PhD, Senior Investigator, Algorithmic Methods in Computational and Systems Biology (AlgoCSB), National Center for Biotechnology Information, National Institutes of Health “Understanding Genotype-Phenotype Relations via Network Approaches”
Ben Raphael, PhD, Brown University Advances in DNA sequencing technology have enabled large-scale measurement of the molecular alterations that occur in cancer cells. Translating this information into deeper insights about processes that drive cancer development demands novel computational approaches. In this talk, I will describe algorithms to address two key problems[…]
Daisuke Nakada Memorial Lecture, Biomedical Graduate Student Association Atul Butte, MD, PhD is the new Director of the new Institute of Computational Health Sciences (ICHS) at the University of California, San Francisco, and a Professor of Pediatrics. Dr. Butte trained in Computer Science at Brown University, worked as a software[…]
You are invited to a special seminar on Friday, October 23, by Peter S. White, PhD, Rieveschl Professor of Pediatrics, director, Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center; professor and chair, Department of Biomedical Informatics, University of Cincinnati College. The seminar, “Enabling Precision Genomics at an Enterprise Level,” will be at 11 a.m.[…]
Presenter: Fattaneh Jabbari (Advisor: Greg Cooper) Food and drinks will be provided.
You are invited to a Special Seminar on Monday, August 24th, given by Guergana Savova, PhD, Associate Professor, Boston Children’s Hospital and Harvard Medical School, who will be presenting a seminar on Monday, August 24th, at 10:00 AM titled “Semantic Processing of the Clinical Narrative – Methods and Applications”. Abstract:[…]
“Big Data Integration for Precision Medicine: From Population to Single Cells” Lana X. Garmire, PhD Assistant Professor Cancer Epidemiology Program University of Hawaii Cancer Center Dr. Lana Garmire is a tenure track faculty member in translational bioinformatics at the University of Hawaii Cancer Center (UHCC). During her time[…]
Rich Caruana, PhD, Microsoft Research In machine learning often a tradeoff must be made between accuracy and intelligibility: the most accurate models usually are not very intelligible (e.g., random forests, boosted trees, and neural nets), and the most intelligible models usually are less accurate (e.g., linear or logistic regression). This[…]