The mission of the Battelle Center for Mathematical Medicine is to apply innovative mathematical, statistical and computational techniques to enable, inform and improve basic and clinical biomedical research. Established in 2006, the center was renamed in 2007 following a transformative gift of $5 million from Battelle Memorial Institute.
The Battelle Center for Mathematical Medicine will be hosting the 3rd Mathematical & Computational Medicine International Conference at The Blackwell in Columbus, Ohio from May 16-18, 2016.
There are six session titles:
Please direct questions to Karen Blosser, conference organizer, at Karen.Blosser@NationwideChildrens.org.
Philip E. Bourne, PhD, FACMI, associate director for data science at the National Institutes of Health and founding editor-in-chief for PLOS Computational Biology
Confirmed Plenary Speakers:
Arup Chakraborty (Massachusetts Institute of Technology)
Steve Frank (University of Califonia, Irvine)
Gael McGill (Harvard Medical School)
Noah Rosenberg (Stanford University)
Confirmed Invited Speakers:
David Bickel (University of Ottawa)
Michael Epstein (Emory University)
James Faeder (University of Pittsburgh)
Marek Kimmel (Rice University)
Shili Lin (The Ohio State University)
Steve Presse (Indiana University-Purdue University Indianapolis)
Elizabeth Read (University of Califonia, Irvine)
William Stewart (Nationwide Children's Hospital & The Ohio State University)
Richard Tseng (Sinoveda Canada)
Sudhakaran Prabhakaran, associate editor of Science Signaling, will talk about how to present your work for high profile journals.
Veronica J. Vieland, PhD, presented "Is Rigorous Measurement of Statistical Evidence Possible?" at the 2015 meeting of the Society for Philosophy of Science in Practice in Aarhus, Denmark.
Veronica J. Vieland, PhD, spoke on "Measurement of Evidence in Theory and in Practice" at the 2015 Making of Measurement conference in Cambridge, United Kingdom.
Veronica J. Vieland, PhD, and Sang Cheol-Seok, PhD, published a new paper, "Statistical Evidence Measured on a Properly Calibrated Scale Across Nested and Non-Nested Hypothesis Comparisons," in the journal Entropy.