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The 2017 Rose-Hulman Undergraduate Mathematics Conference is
over. Planning for the 2018 conference is currently underway.
Please visit
the 2018 page to see what we have planned so far.
Welcome to the 2017 Rose-Hulman Undergraduate Mathematics
Conference. Use the links on the left-hand side of the page to
navigate through the site. This is our 34th consecutive
conference, and we look forward to hosting you on the beautiful
Rose-Hulman campus.
The vision for the Rose-Hulman Undergraduate
Mathematics Conference is to provide a venue to highlight and
celebrate the accomplishments and work of undergraduate
mathematicians and statisticians. The conference is put on
largely by undergraduates for undergraduates. The topics of the 2017
conference are big data, data
science, statistics, and modeling, with particular
attention paid to the intersection of these topics with
the biological sciences. The official conference catchphrase is Exploring
the Crossroads of Mathematics, Biology, and Medicine.
Registration Information:
Online Registration will open on
February 1, 2017. For the first time in several years we need to
institute a $10 registration fee for all participants.
However, Sandia National Laboratories has graciously agreed to cover
the registration fees for all participants that register prior to
the early registration deadline of April 7, 2017. All registrations
occuring after the registration deadline need to be done in person
at the conference and will need to pay the $10 registration fee.
Invited Speakers: Speaker: Meg Ehm
Title: Use of Human Genetics in Drug Discovery & Development
Before the turn of the century, there was a belief that genetics
would have an important impact on drug discovery and development.
Many thought that the identification of genes responsible for
disease would directly identify drug targets – genes that can be
modulated to achieve a therapeutic effect. Genetics was also widely
touted as a method to identify patients who would likely respond to
medications or who were likely to experience adverse effects.
Almost 20 years later, systematic review and analysis of genetic
information and drug approvals have demonstrated the importance of
genetics in early discovery and for drug safety but have tempered
enthusiasm for its use in predicting drug efficacy. I will review
these results and highlight emerging techniques that use genetic
data in drug discovery and development.
Meg Ehm is a Director of Genetics at GlaxoSmithKline located in
King of Prussia, Pennsylvania. She develops and manages external
collaborations that bring together GSK with academic and industry
groups to build innovative capabilities capitalizing on genetic
data that will improve the next generation of medicines.
Currently, she co-leads a pharmaceutical industry consortium
focused on accelerating translational research with genetic
evaluation of clinically important phenotypes using electronic
health record data and genetics to improve pipeline portfolio
decisions. She received her BS degree from Vanderbilt University
in mathematics and computer science and MA and PhD from Rice
University in statistics. She completed a brief post-doctoral
position at North Carolina State University in 2001 where she
remains an Adjunct Professor of Statistics. She is a native
Hoosier and graduated from Terre Haute South High School.
 Speaker: Mark
Inlow
Title: New Mathematical and Statistical Analyses
of Alzheimer's Brain Atrophy
Alzheimer's Disease causes neuron death and tissue shrinkage throughout the brain.
However some regions, especially the hippocampus, are more severely affected.
Since it is believed deleterious changes begin well before symptoms occur it is
important to detect these changes in the earliest stages of Alzheimer's. In this
talk we discuss methods we recently developed to successfully detect and describe
hippocampal shrinkage in subjects with early mild cognitive impairment.
Mark Inlow is
currently a Lead Data Analyst with the American Institutes for
Research (AIR) in Washington, DC. He is also a consultant for the IU
School of Medicine where he helps develop neuroimaging genomics
algorithms for investigating Alzheimer's Disease. Before joining AIR
he was a professor of statistics for 14 years with appointments at
Rose-Hulman, the IU School of Medicine, and the University of
Arizona. Prior to earning his statistics Ph.D. from Texas A&M in
2001, he worked as a statistician for DuPont, Science Applications
International, StataCorp, the Naval Health Research Center, and the
Naval Personnel Research and Development Center. A native Hoosier,
Mark lives in Terre Haute with his wife Jen and their cat
Marshmellow.
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