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BIG DATA IN BIOLOGY SYMPOSIUM

REGISTER FREE HERE for May 15th, 2015 symposium

This annual symposium provides an ideal opportunity for registered attendees from UT Austin and nearby institutions with an interest in computational biology, bioinformatics, and systems biology to interact. A poster session follows the symposium and allows trainees to explain their work and facilitate fruitful exchanges. This event showcases the excellent research done here at The University of Texas at Austin, including TACC (Texas Advanced Computing Center), that takes advantage of high throughput approaches, complex data and/or high performance computing.

Registration is free. This event is organized by the graduate student organization, "The Transdisciplinary Big Data Scientists." The Center for Computational Biology and Bionformatics provides breakfast, lunch, and coffee.

Download PDF of program here.

Program, Friday, May 15th, 2015, Student Activities Center, The University of Texas at Austin

8:45 am Breakfast/ Registration
9:15 Opening Remarks: Dr. Hans Hofmann & Dr. Andy Ellington

9:30 Dr. Jeff Barrick
10:00 Jeff Hussmann (Sawyer and Press Labs)
10:15 Dr. Kasie Raymann (Moran Lab)
10:30 Dr. Oana Lungu (Georgiou and Ellington Labs)

10:45 Coffee Break
11:00 Keynote lecture: Dr. Shelley Berger (University of Pennsylvania)
12:00 Lunch Breakout Sessions (see panelists info below)
Big Data in Medicine and Health
Careers in Biotech/Industry
Open Science

1:30 Dr. Jenny Jiang
2:00 Justine Murray (Whiteley Lab)
2:15 Amelia Hall (Iyer Lab)
2:30 Dr. Becca Young (Hofmann Lab)
2:45 Dr. Misha Matz

3:15 Poster session and Coffee Break
5:15 Closing Remarks Poster Awards: Dr. Scott Hunicke-Smith & Rayna Harris
5:30 Adjourn

Big Data in Medicine & Health
Dr. Stefano Tiziani, Assistant Professor, Dell Pediatric Research Institute
Dr. Maninder (Mini) Kahlon, Vice Dean, Partnerships & Strategy, Dell Medical School
Dr. Maytal Saar-Tsechansky, Associate Professor, McCombs School of Business
Dr. Lauren Becnel, Director, Duncan Cancer Center’s Biomedical Informatics Group, Baylor College of Medicine

Careers in Biotech/Industry
Dr. Margo Lee, President and Co-Founder of the Austin Women in Science Group
Dr. Matt Davis, Software Engineer, IBM Almaden Research Center
Dr. Seth Feder, Director of Healthcare & Life Science, Dell Research.

Open Science
Dr. Claus Wilke, Professor and Chair, Integrative Biology, UT Austin
Dr. James Howison, Assistant Professor, School of Information, UT Austin
Dr. Danielle Whittaker, Director, BEACON Center for the Study of Evolution in Action, Michigan State University

REGISTER FREE HERE for May 15th, 2015 symposium

If you have any questions regarding this year's symposium, please contact Nicole Elmer.

PAST SYMPOSIA

BDIBposter2014

Second Annual Symposium on Big Data in Biology

Friday, May 16th, 2014 [Program] [Poster]

Edward Marcotte (Molecular Biosciences - UT Austin) was keynote speaker. Breakout sessions included topics such as : Big Data in Undergraduate Teaching, Industry Career Panel, and Big Data in Medicine.

BDIBPoster2013

First Annual Symposium on Big Data in Biology

Friday, May 10th, 2013 [Program] [Poster 1] [Poster 2]

Nathan Price (Institute for Systems Biology) was keynote speaker, with talk title "Harnessing Big Data for Biological and Medical Discovery."

 

postersession

Big Data in Biology Poster Session.

PriceTalk

Keynote speaker, Nathan Price, from the 2013 symposium.

MAKE A GIFT

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The vision of the CCBB is to provide an exciting intellectual environment, an excellent bioinformatics consulting group, an advanced computing infrastructure, and training opportunities in computational approaches to the fundamental questions of modern biology.

Given advances in sequencing technology, imaging, and remote sensing, we are faced with many opportunities for "Big Data Biology" in genomics, evolution, neuroscience, environmental science, etc. Yet at the same time challenges remain to be overcome if we want to gain insight and knowledge from vast amounts of information.

Join us as we work for our vision to become reality! As much of our research is at the leading edge of science, opportunities in Big Data Biology are simply impossible without your support for seed grants, professorships, and student/postdoctoral fellowships. This allows us to sustain activities not supported by University funds or grant monies.