Program Statistics | Yale Graduate School of Arts & Sciences
Wednesday, August 28th, 2019https://gsas.yale.edu/admissions/program-statistics
which has a specific drill-down for CBB
https://gsas.yale.edu/admissions/program-statistics
which has a specific drill-down for CBB
https://medicine.yale.edu/news/medicineatyale/new-center-to-harness-burgeoning-data.aspx
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It is a kind of “data fusion,” adds Mark B. Gerstein, PhD, Albert L. Williams Professor of Biomedical Informatics, professor of molecular biophysics and biochemistry, of computer science, and of statistics and data science, and CBDS co-director. “We’re integrating all the different types of data together, and that’s just something that is hard to do in a completely generic, automated way. You need to think about what you’re putting together.”
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UC Irvine’s Center for Complex Biological Systems is pleased to announce the annual short course in Big Data Image Processing & Analysis (BigDIPA), September 17-21, 2018.
This 1-week workshop course is geared towards graduate students, postdocs, faculty and industry professionals with research interests in navigating, manipulating and extracting information from “Big Data” image sources. The course is designed to cover the complete “vertical integration” of the image data to knowledge pipeline.
The course will provide a mix of strategies for dealing with biological/biomedical big data image sources, using examples of image analyses drawn from advanced cell fluorescence microscopy techniques and neurobiology to highlight fundamental concepts and skills. Processing and analysis techniques will be generalizable and relevant to other model systems and biomedical input data sources.
For more information and to apply please visit: http://bigdipa.ccbs.uci.edu
Long-awaited @Yale STEM report calls for new research institutes
https://YaleDailyNews.com/blog/2018/06/14/long-awaited-stem-report-calls-for-new-research-institutes Top recommendation is a new #DataScience institute! Followed by one for #Neuroscience. Cross-cutting recommendations on grad. student support & sci. cores (https://research.Yale.edu/ussc-report)
Blog post itself has some interesting “text evolution”:
http://meetings.gersteinlab.org/2018/06.20/Text-evolution-of-USSC-news-article
Points from the new University Science Strategy Committee Report :
Under Five Ideas for Top-Priority Investment: (University-wide Institute for) Integrative Data Science and its Mathematical Foundations and Neuroscience, from Molecules to Mind
Under Five Additional Priority Ideas: Computer Science, Conquering Cancer, Precision Medicine, Regenerative Medicine
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Mark Gerstein — a professor of biomedical informatics— similarly emphasized the value of a new data science institute that would integrate Yale’s science campuses and discourage research “silos.” …
Another concern is establishing the specific role of the institute amid the various departments and programs at Yale that perform data science research, Gerstein said. For example, he said, Yale’s new Center for Biomedical Data Science, which Gerstein co-directs, might eventually be folded into the proposed institute.
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Long-awaited @Yale STEM report calls for new research institutes
https://YaleDailyNews.com/blog/2018/06/14/long-awaited-stem-report-calls-for-new-research-institutes Top recommendation is a new #DataScience institute! Followed by one for #Neuroscience. Cross-cutting recommendations on grad. student support & sci. cores (https://research.Yale.edu/ussc-report)
Points from the new University Science Strategy Committee Report
Under Five Ideas for Top-Priority Investment: (University-wide Institute for) Integrative Data Science and its Mathematical Foundations and Neuroscience, from Molecules to Mind
Under Five Additional Priority Ideas: Computer Science, Conquering Cancer, Precision Medicine, Regenerative Medicine
this public view of Yale PhD stats broken down by program:
https://public.tableau.com/profile/ecf5839#!/vizhome/shared/26RTFY27Q
Yale establishes biomedical data science center
https://yaledailynews.com/blog/2018/02/09/yale-establishes-biomedical-data-science-center
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“The field of data science has become particularly relevant in the biomedical realm — in genomic sequencing, imaging data, patient record data, data on molecules like nucleotides, proteins and metabolites and wearable personal health devices,” Gerstein said. “All of these create data streams that are growing particularly large, and there’s a lot of value in mining and integrating these different data streams.” …
“Although this initiative was started by the medical school, it is meant for the whole campus,” Gerstein said. “We want undergraduates to do research and take courses in biomedical data science — and to be engaged in this center.”
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