David H. Bailey (currently also a Senior Scientist at the Lawrence Berkeley Laboratory) is a leading figure in the high-performance scientific computing field, with four books and over 170 papers. His 2010 book “Performance Tuning of Scientific Applications” (co-edited by Robert Lucas and Samuel Williams) presents an overview of state-of-the-art research in the field. Bailey has received both the Sidney Fernbach Award from the IEEE Computer Society and the Gordon Bell Prize from the Association for Computing Machinery.
In addition, Bailey is also a leading figure in the field of computational and experimental mathematics. His best-known paper in this area (co-authored with Peter Borwein and Simon Plouffe) describes a new formula, discovered by computer, for the mathematical constant pi. In two more recent papers Bailey and his colleague Richard Crandall demonstrated a fundamental connection between such formulas and the question of whether (and why) the digit expansions of various mathematical constants are “random”. Bailey has received both the Chauvenet Prize and the Merten Hesse Prize from the Mathematical Association of America. Bailey and his colleague Jonathan Borwein of the University of Newcastle, Australia, jointly operate a website and blog devoted to mathematics, computing and modern science (http://www.experimentalmath.info/blog). They also write articles for the Huffington Post (http://www.huffingtonpost.com) and the Conversation (http://www.theconversation.edu.au).
Bailey’s research website is http://www.davidhbailey.com.
Dr. Crivelli’s interests include computational methods for molecular biology that combine high-performance computing, human-computer interaction, and scientific visualization. One primary goal is to design computational tools that allow life sciences and biomedical researchers to model proteins and their complexes and to understand how they perform their functions. She is the PI of the ProteinShop and DockingShop projects (http://proteinshop.org and http://vis.lbl.gov/~scrivelli). A second goal is to use social media to facilitate collaborations among multiple groups to leverage their expertise in the context of protein structure prediction (please visit her blog athttp://wefold.wordpress.com and the collaborative project gateway at http://www.wefold.org). She was a postdoctoral fellow at the NERSC and Physical Biosciences Divisions at LBNL from 1997 to 1999 and at the Bioengineering Dept. of the University of California Berkeley from 1999 to 2001. She currently collaborates with Prof. Nelson Max on developing methods for simple abstract representations of large 3D bioimages.Email: firstname.lastname@example.org
Amit Pande is a research scientist in Department of Computer Science at university of California Davis working with Prof. Prasant Mohapatra. Prior to that, he completed his PhD from Iowa State University (2010) in Computer Engineering with Dr. Joseph Zambreno and finished his Bachelors in Electronics and Communications Engineering from IIT Roorkee, India (2007). He has been recipient of NSF Computational Innovation Fellowship (2010-12), several Best Paper and Design Contest Awards as well as Research Excellence Awards from UC Davis, Iowa State University and IIT Roorkee. His research interests in data science applications, wireless networks, health informatics, mobile security and hardware acceleration.Phone: (530) 752-0870