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2014 ISCB Overton
Prize: Dana Pe'er |
2014 ISCB OVERTON PRIZE: DANA PE'ER
By Christiana N. Fogg1,
Diane E. Kovats2*
1 Freelance Science Writer, Kensington,
Maryland, USA United States of America, 2 Executive Director,
International Society for Computational Biology, La Jolla,
California, USA
* E-mail: dkovats@iscb.org
ISCB honors the
achievements of an early- or mid-career scientist with the Overton
Prize each year. The Overton Prize was established in memory of Dr.
G. Christian Overton, a respected computational biologist and
founding ISCB Board member who died unexpectedly in 2000. Winners of
the Overton Prize are independent scientists in the early or middle
phases of their careers that are recognized for their significant
contributions to computational biology through research, teaching,
and service.
ISCB is thrilled to recognize Dr. Dana Pe'er,
Associate Professor in the Department of Biological Sciences and
Systems Biology at Columbia University in New York, NY, as the 2014
winner of the Overton Prize. In recognition of this award, Dr. Pe'er
will be a keynote speaker at this year's Intelligent Systems for
Molecular Biology conference in Boston, Massachusetts and will
present a talk titled "A Multidimensional Single Cell Approach to
Understand Cellular Behavior" on Monday, July 14, 2014.
Dana Pe'er: From Mathematics to Mass Cytometry
Dana Pe'er encountered her first love in second grade. Her
father was eager to instill a passion for learning in her, and one
day he showed her the proof demonstrating why the same number of
natural numbers and rational numbers exist whereas the number of
irrational numbers is greater than the number of rational numbers.
Pe'er recalled, "Grappling with different strengths of infinity and
the elegance mathematical logic made me fall in love with math."
Pe'er received her bachelor's degree in mathematics, and her
master's and Ph.D. degrees in computer science, all from the Hebrew
University of Jerusalem. She did her Ph.D. research in the lab of
Dr. Nir Friedman, where she had the realization that "statistical
machine learning is a very powerful "math" to help elucidate
biology, and the complexity of it all required computer science." She recalls gaining several insights during this period that have
accompanied her throughout her career, including her affirmation
that, "Good modeling of the biology is the most important ingredient
toward a good computational method for biological discovery. Rather
than applying the most sophisticated "nuclear powered" method to
squeeze the most out of the data statistically, one can use
biological insight to limit the space of possible models more than
any statistical method ever can."
Making the right
assumptions requires a good understanding of biology, knowledge
Pe'er gained through her collaboration with Dr. Aviv Regev. They met
as graduate students in Israel, where Regev greatly influenced how
Pe'er thought of biological questions. Pe'er recalled, "She was my
first real biology teacher and she taught me to think about biology
more abstractly, rather than stick to more rigid and dogmatic
thinking."
Pe'er did her postdoctoral work with Dr. George
Church at Harvard University, where she began navigating the messy
world of experimental biology. Church's mentorship gave Pe'er a new
perspective of science, and she moved away from asking, "What type
of computation can I do for this data?" and learned to ask instead,
"What data do I need to answer a biological question I am passionate
about?"
Pe'er describes the mentorship she received from Dr.
Daphne Koller as being instrumental to her success as a trainee.
Koller provided guidance and mentoring to Pe'er during her Ph.D. and
postdoctoral training and instilled in her the importance of "good
modeling assumptions." Although Pe'er was not an official student of
Koller's, she recalls appreciatively the valuable career advice and
insights Koller shared with her as she launched into her career as
an independent researcher
In 2006, Pe'er started her own lab
at Columbia University in the Department of Biological Sciences and
Systems Biology. Her lab embodies the interdisciplinary nature of
her research and is filled with trainees from a wide range of
backgrounds. She genuinely appreciates working with her trainees and
has enjoyed "Watching them grow,and seeing how much they matured as
scientists. I really love mentorship and feel a form of motherhood
towards my trainees."
Pe'er has developed several research
projects that use large, complex data sets to examine how molecular
networks respond to various external stimuli. One of her primary
interests is using single cell technologies such as mass cytometry
to better understand cellular heterogeneity. She is fascinated by
this work and hopes "to reframe development not as a set of discrete
cell types, but rather as a continuum, a dynamic process in which
one can place each individual cell along a developmental trajectory
that represents not only cell types, but their many intermediates."
Pe'er is planning to apply her studies of cellular heterogeneity to
cancer and the improvement of personalized cancer therapy.
Pe'er's training in computer science and biology have given her a
unique combination of skills and knowledge that have served her well
as a computational biologist, but she sees her training experience
becoming mandatory for future biology researchers. As she sees it,
"Biology has become an information science. Enabled by an increasing
number of technologies, the magnitude and complexity of the data is
only increasing. In the future, computation will be an integral part
of biology, like molecular biology is today." Pe'er champions the
power of doing science at the interface of biology and computation.
"My "bilingual" training really lets me play at the interface," she
acknowledges. "It lets me communicate with both sides effectively
and make connections. By understanding what powerful computation can
do, I can design experiments and strive for technologies that might
not be intuitive and obvious to a bench biologist that is less
versed in computation. Designing the right data-rich experiment,
matched with the right biology is truly empowering."
Pe'er
serves on the editorial board of the journal Cell, and she considers
this role as a valuable opportunity to serve the scientific
community. Cell has acknowledged computational biology as a critical
rising field, and Pe'er sees her work on the advisory board as an
important way to serve the computational biology community and help
educate the journal about the field.
Outside of the lab,
Pe'er has taken time to support and promote K12 science education by
organizing a science expo. She was inspired to do this when she
realized that her young daughter didn't really know what she did.
Pe'er recalled that her daughter "thought my job was 'writing emails
all day'. She did not realize that scientists are trying to figure
out what we don't know, rather than rehash what we do." The expo was
designed to transform a school into "a multi-story, hands-on,
interactive science museum. Each volunteer scientist brings their
lab and science to the kids, distilled in a way that is both
engaging and clear to the kids." She acknowledged that the expo
presents a big but gratifying challenge to the volunteer scientists
because they had to take "complex science and distill it in a way
that can relate to a 5 year old. But, if you can explain your
science to a 5 year old, you can explain it to anyone."
Dr.
Alfonso Valencia, chair of the ISCB Awards Committee, sees Pe'er's
selection as fitting recognition of her scientific contributions. He
said, " was very happy to see that Dana Pe'er was finally selected
for the award. This is always a very difficult decision given the
number of excellent young computational biologists in our community.
Dana has published amazing papers with substantial impact in biology
and cancer biology, together with other papers on method development
that were very influential, some of them presented in ISMB." Dr.
Bonnie Berger, co-chair of the Awards Committee, also sees Pe'er as
a rising luminary in the field of computational biology "for
pioneering the use of Bayesian networks in cellular network
inference."
Pe'er is looking forward to where her research
will take her, especially her ongoing work on single cell data. She
is also enjoying and appreciating this moment of recognition. Pe'er
was excited and uplifted when she was told she had been selected for
the 2014 Overton Prize, and she recounted, "I got such an outpouring
of congratulations from my colleagues, which was really the best."
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