Senior Director, External Research
The predictions around the advent of
becoming reality for the scientific community. However, the
for society in
general are still unclear. It seems obvious that the broad
infrastructure” will have a impact on
scientific populations, but exactly what…and
when? How does one become a Citizen
Scientist? How will
resources without even knowing it?
This panel of experts will field this wide
ranging topic and
provide their educated viewpoints on how
blend into the very fabric of our everyday lives
Computing infrastructure allowing greater access to
resources and (a growing volume) of data
Increasing availability of sensors/devices
Increasing ability of people to collaborate
New era in scientific research
Assistant Professor; Biological
Statistics & Computational Biology
Jeannette M. Wing
Head Computer & Information
Science & Engineering Directorate at NSF
Professor and Department Head; Computer
Science Dept at CMU
Associate Professor; University of North
Carolina at Chapel Hill
What will the proliferation of devices lead to in terms of new
What happens when the information flow goes the other way (
just consuming but become data sources)?
Who will validate their input?
How will we repeat results/experiments?
Won’t semantics be key rather than people saying ‘I trust this person for this
and not this’.
What role will the (primitive) social networking tools need to play?
How will we credit people for their contribution/insight?
What about ‘duty of care’
1M missing diabetics in the UK
can we afford to
know who they are?
What will we do when we realize we are all ill?
What dangers exist?
Rogue factions distorting data/algorithms/services?
What measures can be taken?
What will privacy mean/require?
What guarantees will be provided that cloud services are, for
example, compliant to various mathematical standards?
What will we find in the data and how will we manage
Assistant Professor, Biological Statistics & Computational
Research interests lie in the area where statistics, computer science, evolutionary biology,
and genomics meet
Currently developing computational methods for the identification of functional elements in
eukaryotic (primarily mammalian) genomes, based on comparative sequence data
A major theme in my work is to model and analyze the evolution and the function of genomic
sequences simultaneously, so that evolution sheds light on function, and function sheds light
I like to tackle problems of practical importance in genomics, such as gene finding and
conserved element identification, using methods from machine learning and computational
statistics. As much as possible, I try to stay grounded in biology by working with
experimentalists to test predicted functional elements in the lab
Jeannette M. Wing
Carnegie Mellon University
Wing has been a leading member of the
especially in the area of
. She has led many research projects and has
, Jeannette Wing developed the
, published in 1993
She is on the editorial board of the following journals:
Journal of the ACM
Formal Aspects of Computing
(North American Editor),
Formal Methods in
International Journal of Software and Informatics
Information Science and Engineering
Software Tools for Technology Transfer
I joined CMU in 1987, after finishing my PhD at Michigan. I'm an ACM Fellow, member of the
CRA Board of Directors, vice chair of DARPA ISAT, and a bunch of other things too boring to
Professor and department head, computer science dept at CMU
My research is not in
, but in programming languages, particularly applications to
security. I'm best known for the development of "proof
carrying code" (with my former student,
, now at Berkeley).
I had a stint as the Vice Provost for Research at CMU, and during that time I helped to raise the
funding for and launch the McWilliams Center for Cosmology, a new center run jointly between
Physics Dept and CS Dept, for computational astrophysics.
I was also deeply involved in several efforts related to
initiatives in earth sciences,
biology, and materials. Today, I am spearheading CMU's initiative in Next
to provide the computing infrastructure necessary for the university's
Associate Professor; University of North Carolina at Chapel Hill
Wei Wang is an associate professor in the Department of Computer Science and a member of the
Carolina Center for Genomic Sciences at the University of North Carolina at Chapel Hill. She
received a MS degree from the State University of New York at Binghamton in 1995 and a PhD
degree in Computer Science from the University of California at Los Angeles in 1999. She was a
research staff member at the IBM T. J. Watson Research Center between 1999 and 2002. Dr.
Wang's research interests include data mining, bioinformatics, and databases. She has filed seven
patents, and has published one monograph and more than one hundred research papers in
international journals and major peer
reviewed conference proceedings. Dr. Wang received the IBM
Invention Achievement Awards in 2000 and 2001. She was the recipient of a UNC Junior Faculty
Development Award in 2003 and an NSF Faculty Early Career Development (CAREER) Award in
2005. She was named a Microsoft Research New Faculty Fellow in 2005. She was recently honored
with the 2007 Phillip and Ruth
Prize for Artistic and Scholarly Achievement at UNC. Dr.
Wang is an associate editor of the IEEE Transactions on Knowledge and Data Engineering and
ACM Transactions on Knowledge Discovery in Data, and an editorial board member of the
International Journal of Data Mining and Bioinformatics. She serves on the program committees of
prestigious international conferences such as ACM SIGMOD, ACM SIGKDD, VLDB, ICDE, EDBT,
ACM CIKM, IEEE ICDM, and SSDBM