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MODELS, INFERENCE & ALGORITHMS
nice seminar series
https://www.broadinstitute.org/scientific-community/science/mia/models-inference-algorithms

http://medicine.yale.edu/news/article.aspx?id=16666

https://yaledailynews.com/blog/2017/12/04/day-of-data-analyzes-role-of-data-in-society/

http://ymm.yale.edu/autumn2017/features/feature/317720/

QT:{{”
Center co-director Mark B. Gerstein, Ph.D., the Albert L. Williams Professor of Biomedical Informatics, explains that succeeding with what researchers term “Big Data” requires “real thought about standards, the uniform collection of data, the distribution of samples, and the presentation and packaging of results.” After three years of planning, Gerstein and co-director Hongyu Zhao, Ph.D., a geneticist and the Ira V. Hiscock Professor of Biostatistics, have assembled a kind of central clearinghouse for research and development of these issues, particularly cloud computing and privacy, as well as for education and bridge-building collaboration on university, national, and international levels. “Our mission is really about connecting and coordinating the people and resources already here, and becoming a way to recruit the scientists we want to attract in the future for the Big Data initiatives we want to participate in,” says Gerstein. “We expect the center to have a very broad impact.” “}}

http://ymm.yale.edu/autumn2017/features/feature/317720/
QT:{{"
Center co-director Mark B. Gerstein, Ph.D., the Albert L. Williams Professor of Biomedical Informatics, explains that succeeding with what researchers term “Big Data” requires “real thought about standards, the uniform collection of data, the distribution of samples, and the presentation and packaging of results.” After three years of planning, Gerstein and co-director Hongyu Zhao, Ph.D., a geneticist and the Ira V. Hiscock Professor of Biostatistics, have assembled a kind of central clearinghouse for research and development of these issues, particularly cloud computing and privacy, as well as for education and bridge-building collaboration on university, national, and international levels. “Our mission is really about connecting and coordinating the people and resources already here, and becoming a way to recruit the scientists we want to attract in the future for the Big Data initiatives we want to participate in,” says Gerstein. “We expect the center to have a very broad impact.”
"}}

http://provost.yale.edu/sites/default/files/guide_to_unacceptable_interview_questions_09-01-2015.pdf

Webinar Invitation
General Data Science Overview
Date: November 1st
Time: 11:00 a.m. EDT

QT:{{”

How can we effectively and efficiently teach statistical thinking and computation to students with little to no background in either? How can we equip them with the skills and tools for reasoning with various types of data and leave them wanting to learn more?

In this talk we describe an introductory data science course that is our (working) answer to these questions. ….

Webinar Recordings:

We try to record every webinar we host and post all materials on our website. http://www.rstudio.com/resources/webinars/
“}}

One image has a cool story related to data visualization:

https://hi.stamen.com/turning-medical-data-into-artful-data-viz-8d0a27ca203b

http://researchdata.yale.edu/training-calendarthe Research Data Support website has published a unified calendar for data and research skills training provided by the Library, Center for Research Computing, Medical Library, and Center for Teaching and Learning.

New job post @YaleMed http://APPLY.interfolio.com/43598 Exec. Director for the Center for Biomedical #DataScience, an “ambassador” for this new field!