Bioinformatics Discovery Day – April 14

Thanks to support from the Arkansas IDeA Networks of Biomedical Research Excellence Grant (NIGMS (P20 GM103429) at NIH), UALR is pleased to host its first ever UALR Bioinformatics Discovery Day on April 14, 2017 at the Donaghey Student Center on the UA Little Rock Campus. Bioinformatics is an interdisciplinary science that combines life sciences, computer/information sciences, statistics/mathematics, and even some engineering in order to analyze and interpret biological data. Bioinformatics has many exciting applications and the growth potential of this field is enormous. This free event is open to all college/high school students, faculty, and guests as a way to find out more about bioinformatics, the educational resources available, and the many research/career opportunities that students can pursue.

This event will feature speakers, panels, and a research showcase. The event will start with breakfast and registration starting at 8:30 am. At 9 am, Dr. David Ussery, Director of the Arkansas Center for Genomic and Epidemiology and Medicine at the University of Arkansas for Medical Sciences (UAMS) will deliver the keynote. From 10:30 am to noon, there will be an interactive Ecology & Conservation Bio Data Challenges Panel with Mr. Bill Holimon (Arkansas Natural Heritage Commission), Dr. Scott Woolbright (UALR Biology), Mr Justin Stroman (Arkansas Game & Fish), and Dr. Don Bragg (US Forest Service). Lunch will be provided and this event will feature two different lunch session. Mr. David Luneau (UALR Engineering & Technology) will be talking about Technology for Monitoring while Dr. Don Bragg (US Forest Service) will talk about the Survey of National Forestry Data. The event will conclude with a Poster Session between 1 and 3 pm in DSC Room B hosted by faculty and students to share ideas and discuss research and bio venture opportunities involving Bio data.

Come find out why working with bio-data is one of the hottest careers for the 21st century. Free Registration available at ualr.at/bioinformatics.

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