Posts Tagged "Sawsan Khuri"



Women in STEM: A Speaker’s Panel, Thursday 3/17

The National Organization for Women at UM and UConnect present Women in STEM: A Speaker's Panel on Thursday, March 17th, 2016, at 7:00 PM in the Shalala Student Center Complex East Ballroom. The discussion will highlight how gender affects the workplace environment, success in male-dominated fields, and breaking the glass ceiling. We will have four accomplished female panelists representing each of the fields of STEM (Science,...

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Women in Tech Careers Event, Tuesday 9/15/2015

WHAT/WHO: Did you know that in 2013, just 26 percent of computing jobs in the United States were held by women? Several panelists from academia and industry have been invited to the University of Miami (UM) to discuss the challenges facing women in tech careers today, and how we can work together to resolve those challenges. The Women in Tech Careers panelists will outline their paths to success and engage the audience in a...

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Biomedical Data Science course

Biomedical Data Science A new 500/600 level course, cross listed between the Departments of Biology and Computer Science Science Level: BIL575 and BIL675 / CSC598 Format: Tue/Thurs 9:30-10:45 AM  |  Cox 213 Instructors: Sawsan Khuri (coordinator) and Stefan Wuchty (with B. Kirkpatrick)   Course Description The goal of this course is to teach students how to turn data into information. Students will learn the necessary...

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CCS Fellows Symposium features Molecular Animations

The second annual CCS Fellows Symposium took place on Friday, April 17, 2015, and opened with a presentation by Janet Iwasa, PhD, from University of Utah's Dept. of Biochemistry. Dr. Iwasa emphasized that 2- or 3-dimensional drawings cannot compare to animating the process of cell behavior as a vehicle to further understanding. Ms. Iwasa showed various animations she had created "to illustrate a lot of things that are not...

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By Sawsan Khuri and Stefan Wuchty. BMC Bioinformatics 2015 Apr 1;16(1):109. [Epub ahead of print] PMID: 25880655   Abstract Background Minimum dominating sets (MDSet) of protein interaction networks allow the control of underlying protein interaction networks through their topological placement. While essential proteins are enriched in MDSets, we hypothesize that the statistical properties of biological functions of essential...

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