Beyond Big Data: Smart Data for Driving Scientific Discovery

Beyond Big Data: Smart Data for Driving Scientific Discovery

Alexandra Vamvakidou-Thomas
This FREE webinar was recorded on:
Wednesday, November 06, 2013
10:00 AM - 11:00 AM EST
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Beyond Big Data: Smart Data for Driving Scientific Discovery

Data can both empower as well as overwhelm scientists. The “5 V’s” represent the most common big data challenges facing scientists today: volume, velocity, value, veracity and variety.


Alexandra Vamvakidou-Thomas earned a Ph.D in Biomedical Engineering from Drexel University by combining her interests in problem solving and the biological sciences. She has presented in numerous webinars, conferences and workshops, and her experience in lab work and data analysis makes it possible for her to work closely with researchers to identify their challenges and propose solutions. Alexandra held various scientific and commercial positions with Integromics, SA, before joining PerkinElmer in 2012 as a specialist for the TIBCO Spotfire data analysis platform.

Ismail Ijjaali

Ismail Ijjaali received his Ph.D. in chemistry from Henri-Poincaré University, Nancy, France. After his post-doctoral fellowship at Northwestern University Chicago and a diploma in Computational Chemistry, Ismail spent 8 years at Aureus Sciences (now part of Elsevier) where he was involved in consulting activities for their chemical/biological knowledge databases and managing several funded European projects in drug discovery. Ismail joined PerkinElmer in 2012 as part of the European Regional Marketing team working on Chemistry Enterprise solutions and Analytics.

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