[TriPython] TriPython December 2015 Meeting: Chemical Informatics with Python and GPUs

[Chris Calloway]

Fantastic meeting in store for you this month:

http://tripython.org/Members/rpetrusz/dec-15-mtg

When: Thursday, December 17, 7pm
Where: Bull City Coworking, 112 S. Duke St., Suite 6, Durham

"""
Chemical Informatics or Cheminformatics applies and develops methods
in computer science and artificial intelligence to solve problems in
chemistry. It covers a wide range of application areas like prediction
of chemical reactions, computer-assisted structure elucidation,
generation of molecules spaces, and more. Traditionally, there has been 
a focus on the pharmaceutical drug development pipeline. Because of the
dramatic growth of biological and chemical data, often referred to as
"Big Data", the applicability of computational methods like data mining
and machine learning has been extended to nearly every corner of
chemical sciences. Application of GPU accelerators enable computational
researchers to push the boundaries of discovery with processing this
"Big Chemical Data". In this introductory talk, Dr. Olexandr Isayev 
presents an overview of these developments, platforms, and early 
successful applications in his lab as well as in the field.

Dr. Isayev is a Research Scientist at UNC Eshelman School of Pharmacy, 
University of North Carolina at Chapel Hill. In 2008, he received his 
Ph.D. in computational chemistry from Jackson State University. He was 
Postdoctoral Research Fellow at the Case Western Reserve University and 
a senior scientist at the US Army ERDC before joining UNC in 2013. Dr. 
Isayev received the “Emerging Technology Award” from the American 
Chemical Society (ACS) and the GPU Computing Award from NVIDIA in 2014. 
His research interests focus on making sense of chemical data with 
molecular modeling and machine learning.

Extemporaneous "lightning talks" of 5-10 minute duration are also 
welcome and don't need to be pre-announced. Lightning talks are for you 
to "show and tell" something you've learned about Python recently, no 
matter how small. We all use Python, therefore, we are always learning 
something new about Python that we can tell others. Please see the 
parking instructions on the BCC website. A wide variety of possibilities 
for the after-meeting are within steps of BCC.
"""

-- 
Sincerely,

Chris Calloway, Applications Analyst
UNC Renaissance Computing Institute
100 Europa Drive, Suite 540, Chapel Hill, NC 27517
(919) 599-3530