• New Faculty, 2016

    Dr. Jose Rodriguez
    Chemistry and Biochemistry

    In a joint effort with the groups of David Eisenberg and Tamir Gonen, we’ve determined the structures of tiny protein crystals using only their measured diffraction intensities, at atomic resolution.

  • New Faculty, 2016

    Dr. Roy Wollman
    Chemistry and Biochemistry

    We study information processing in intracellular and intercellular signaling networks in the presence of a high degree of single-cell variability.

  • New Faculty, 2016

    Dr. Noa Pinter-Wollman
    Ecology and Evolutionary Biology

    We study how collective behavior emerges from variation among system components.

  • New Faculty, 2016

    Dr. Xianghong Jasmine Zhou

    The Zhou Laboratory research focus is on Precision Medicine, the use of a patient’s genomic information to offer more precise and targeted treatment, and Big Biodata Analysis, which has been a focus of our lab for more than a decade.

  • New Faculty, 2016

    Dr. Eran Halperin
    Computer Science and Anesthesiology

    The research in our lab involves the development of computational methods for the analysis of genetic data. Our goal is to improve the understanding of disease genetics through a rigorous search for the different genetic components of disease mechanisms and their infractions.

  • New Faculty, 2016

    Dr. Jae Hoon Sul
    Psychiatry and Biobehavioral Sciences

    Our lab is interested in developing computational and statistical approaches to analyze large-scale genomics data, and identifying the genetic basis of neurobehavioral disorders such as bipolar disorder, Tourette Syndrome, and schizophrenia. We use a multidisciplinary approach to achieve these goals by combining statistics, genetics, computer science, bioinformatics, and psychiatry.

  • (a) Mouse lung, (Elif Tekin, Savage Lab)

    Do Vascular Networks Branch Optimally or Randomly across Spatial Scales? (PLos Computational Biology, 2016)

The Institute for Quantitative and Computational Biosciences is a partnership between the UCLA College, the Health Sciences, and Engineering.  Its associated faculty span more than twelve departments, and a broad range of biological and biomedical research areas – yet, the hallmark of QCBio faculty and their laboratories is the commitment to quantitative reasoning and the development of algorithmic and computational methods.

QCBio’s mission is to support quantitative and computational biosciences research, training, and education. As new measurement capabilities and public data bases are rendering the biosciences – whether basic, translational or clinical – increasingly data-rich, the challenges and opportunities for data analysis and interpretation are a hallmark of all aspects of biosciences research. Further, vast quantities of knowledge – the result of prior research investments – should be harnessed for computer-aided data interpretation and prospective prediction. Thus QCBio addresses the opportunities and challenges of data-driven and knowledge-based computational modeling in the biosciences.

QCBio fosters research into the development of algorithms, software, statistical, mechanistic, and dynamical models, as well as intra-institutional and international collaborations. QCBio provides research training and expert collaborative support via the Collaboratory. QCBio functions as the academic home and sponsor of the inter-departmental programs in Bioinformatics, Biomedical Informatics, and Computational and Systems Biology, at the graduate and undergraduate level. QCBio organizes a major summer undergraduate research program, Bruins in Genomics, that provides substantive graduate school preparation.