About the Conference

The BCATS organizing committee is proud to announce the 17th year of the symposium: Biomedical Computation at Stanford (BCATS). This year BCATS will be held on Monday, April 10th 2017 at Stanford. BCATS is a one-day scientific conference organized entirely by students highlighting current research by students and post-docs in the San Francisco bay area including Stanford, UC Berkeley, UC San Francisco, UC Santa Cruz and UC Davis. Last year, BCATS presented work of over 60 different research projects to over 250 attendees from the scientific community.

Over the years, BCATS has consistently offered the biomedical computation community a place to connect and learn about state-of-the-art science. This open exchange is critical for the growth of biomedical computation research. Attendees of previous BCATS have gone on to become leading faculty in prestigious institutions and drivers of biotechnological innovation in the private sector.

We look forward to your participation!

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  • Conference Topics


    Computational Genomics

  • 2

    Bioinformatics and Biostatistics

  • 3

    Systems Biology

  • 4

    Medical Informatics and Imaging

  • 5

    Knowledge Representation and Visualization

  • 6

    Structural Biology and Chemistry

BCATS 2016 Keynote Speakers

Dr. Jonas S. Almeida - Stony Brook University, New York

Professor and Chief Technology Officer, Department of Biomedical Informatics

Dr. Almeida's lab researches at the intersection of semantic web abstractions and distributed cloud computing approaches to bioinformatics application development in the pervasive web platform. This research often involves the application of mathematical modelling and machine learning for medical genomics, with a focus on The Cancer Genome Atlas (TCGA). Dr. Almeida is currently a Professor and Chief Technology Officer at the Biomedical Informatics Department of Stony Brook University (State University of New York, Long Island). Previously, he served as the inaugural director of a new Division in Informatics in the Department of Pathology of the University of Alabama at Birmingham (UAB) (2010-2014), and as Professor of Bioinformatics in the Division of Applied Mathematics of the University of Texas MDAnderson Cancer Center (2005-2010).

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Dr. Hao Li - University of California, San Francisco

Professor, Department of Biochmistry and Biophysics

Dr Li's lab studies the molecular mechanisms of aging and genetic determinants of complex human traits, using system biology approaches that combine quantitative experiments with theoretical modeling and bioinformatics analysis. His lab has developed microfluidic devices to analyze aging at the molecular level in single cells and genetic systems for high throughput lifespan screening. His lab has also developed various computational algorithms to analyze gene regulatory networks, and more recently to map genes that influence complex human traits by combining genome-wide association studies with other large-scale molecular trait data. Dr. Li is a Professor in the Department of Biochemistry and Biophysics at UCSF and the director of the UCSF Hillblom Center for the Biology of Aging. He received his BS in Physics from Peking University and Ph.D. in Theoretical Physics from MIT. He is a Changjiang Lecture Professor at Peking University, NIH transformative R01 awardee and Packard Fellow.

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Dr. Laura Waller - University of California, Berkeley

Assistant Professor, Department of Electrical Engineering and Computer Sciences

Dr. Waller's lab develops new methods for designing imaging systems jointly in terms of hardware and software. This research is inherently interdisciplinary, drawing from expertise in optics, signal processing and computer science, with broad applications in bioimaging, defense, physical science and industrial inspection. Dr. Waller is an Assistant Professor at UC Berkeley in the Department of Electrical Engineering and Computer Sciences (EECS) and a Senior Fellow at the Berkeley Institute of Data Science (BIDS), with affiliations in Bioengineering and Applied Sciences and Technology. She was a Postdoctoral Researcher and Lecturer of Physics at Princeton University from 2010-2012 and received B.S., M.Eng., and Ph.D. degrees from the Massachusetts Institute of Technology (MIT) in 2004, 2005, and 2010, respectively. She is a Moore Foundation Data-Driven Investigator, Bakar fellow, NSF CAREER awardee and Packard Fellow.

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"I learned a great deal."

– John Doe

Our 2016 Sponsors