New Applications of Computer Analysis to Biomedical Data Sets

May 28, 2015
Room 212, Byers Hall, UCSF Mission Bay


This seminar will explore a range of new techniques to use large data sets to uncover correlations, causation, and trends in different fields of research to explore new applications to biomedical research.


Primary objective is to mix specialists in mathematics, computer science, and data analysis with biomedical researchers whose research can scale into very large datasets.

  • Explore new ways to view and analyze diverse data with large-scale computation
  • Discuss current problems in biomedical research and the opportunities with large data sets

Download the meeting program


I. Emerging techniques in mathematics and machine-aided learning and discovery

James Brase, LLNL, Application of graph analytics and machine learning

Gunnar Carlsson, Stanford & Ayasdi, Topological data analysis

Steve Libby, LLNL, Dynamics in complex networks

Felice Lightstone, LLNL, Ligand Binding in Proteins

Larry Smarr, CalIT2 UCSD, Human Gut Microbiome Ecology and Function using Metagenomics and Supercomputers

Geoff Sanders, LLNL, Structure and analysis of networks

George Sugihara, UCSD, Understanding Correlation and Causation in a Nonlinear World

II. New opportunities in biomedical research

David Agard, QB3 UCSF: Computational challenges in very low signal to noise light & electron microscopic imaging

Nevan Krogan, QB3 UCSF: Protein Interaction Networks – Toward a Deeper Understanding of Virus-Host Interactions?

Ryan Hernandez, QB3 UCSF: Evolutionary Forces Driving Patterns of Human Genetic Variation

Andrej Sali, QB3 UCSF: Integrative modeling of biomolecular assemblies and pathways

Brian Shoichet, QB3 UCSF: Computational Screening of Organic Molecules