Rescheduled: Visualizing Data in the Life Sciences

Speaker 1: Scott Chasalow
Title: Data Visualization in Translational Bioinformatics

Abstract:
We will take a brief tour through three types of data visualizations used in Translational Bioinformatics and the Pharmaceutical industry more generally: visualizations (1) more common than they deserve to be; (2) less common than they deserve to be; and (3) as common as they deserve to be.

Bio:
Scott D. Chasalow, PhD - Research Fellow, Bioinformatics Methodology, Bristol-Myers Squibb

Scott leads a team of five data scientists focused on bioinformatics methodology: how to explore, model, and visualize biomedical data, with an emphasis on genomics applied to drug discovery and development.

Scott graduated from Cornell University in 1984 with a B.A. in Biological Sciences, and in 1988 obtained an M.A. in Biochemistry from UC Berkeley. He then switched gears a bit, earning a PhD in Biostatistics from UC Berkeley in 1992. After 10 years in government, academia, and industry, focused on agricultural genomics research, Scott joined BMS, where since 2003 he has worked at the interface of statistics and high-throughput biology, focused on statistical aspects of biomarkers in human biomedical studies. He has particular interests in statistical bioinformatics and genetics, precision medicine for immuno-oncology, statistical computing, experimental design, and data visualization, and co-leads the development and deployment of a framework for reproducible research.

Speaker 2: Isaac M. Neuhaus
Title: canvasXpress: An R Library for Interactive Data Visualization and Reproducible Research.

Abstract:
CanvasXpress is a standalone JavaScript library used for visualization of genomics and non-genomics data sets. It has a user-friendly and unobtrusive interface to allow users to explore data sets and customize their visualizations. It also has a sophisticated mechanism to track all user interactions and modifications, which makes it ideal for use in Reproducible Research. More information can be found at https://canvasxpress.org

Bio:
Isaac M. Neuhaus, PhD - Director of Computational Genomics, Bristol-Myers Squibb

Isaac leads a team of 13 computational scientists in the Translational Medicine division. Their work includes bioinformatics software development and data analysis and visualization for drug discovery through full development programs, focusing on technologies such as Next Generation Sequencing (NGS), Proteomics, Flow Cytometry, and Cloud Computing.

Isaac graduated from Universidad Javeriana in Colombia in 1984 with a B.S in Microbiology, and in 1995 obtained his Ph.D. in Biochemistry and Molecular Biology from the University of Miami. A post-doc at the Brigham and Women’s hospital afforded him the opportunity to work in mouse genetics with Dave Beier and develop his passion for Bioinformatics, learning from Lincoln Stein. From 2000 to the present, he has held positions of increasing responsibility at BMS, where he developed the infrastructure to store genomic data. More recently, he has led the transition of NGS data processing to be completely cloud based, co-leads the development of a framework for reproducible research, and leads the development of a framework for reproducible research and leads the development of visualization tools for genomics data. He is the developer of the JavaScript library, CanvasXpress.

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Other Announcement:

The Information+ 2018 Conference, Interdisciplinary practices in information design & visualization, will be held in Potsdam, Germany on October 19-21. They invite you to submit proposals using EasyChair https://easychair.org/conferences/?conf=info2018 . For further information and updates, please visit: http://informationplusconference.com (http://informationplusconference.com/)