head photo of new hires for the School of ComputingThe University of Wyoming’s School of Computing has taken a major step toward its
goal of creating a statewide, national and global impact with the hiring of tenure-track
faculty members in applied artificial intelligence/machine learning and big data.

The School of Computing aims to provide Wyoming and the world with agile and ethical
computing professionals, empowered to address societal challenges that are inherently
interdisciplinary. The new faculty members showcase the breadth of computing envisioned
by the school — and the interdisciplinary nature of the field of computing — as
all have joint positions with other academic units.

“We are delighted to welcome these talented individuals to our team,” says Gabrielle
Allen, director of the School of Computing. “Their diverse backgrounds and expertise
will strengthen our interdisciplinary approach to applied artificial intelligence/machine
learning and big data research, creating opportunities for innovation, addressing
complex challenges and advancing curricular offerings in the School of Computing and
across campus.”

This year’s new faculty members are:

— Ellen Aikens, a wildlife ecologist whose research is rooted in applied data science,
uses big data techniques to address critical conservation and management issues. She
joins UW as an assistant professor, joint with the Haub School of Environment and
Natural Resources, and with an adjunct position in the Department of Zoology and Physiology.

She earned a bachelor’s degree in biology from Ursinus College and a Ph.D. in ecology
from UW. She gained international experience through a postdoctoral position at the
Max Planck Institute of Animal Behavior in Germany before her most recent role as
an assistant unit leader for the South Dakota U.S. Geological Survey cooperative unit.

Aikens will conduct research at the UW-National Park Service Research Station at the
AMK Ranch in Grand Teton National Park, where she will study the full lifetime of
ravens, which are well known for their intelligence and problem-solving abilities.
For this, her group will develop and apply cutting-edge methods to sensor, camera,
movement and activity data.

— Sean Field, who joins UW as an assistant professor, joint with the Department of
Anthropology, and as a UW Derecho Assistant Professor, specializes in archaeological
visualization. He earned a bachelor’s degree from the University of Northern Colorado
in an interdisciplinary major through the Department of Anthropology and holds an
M.A. and Ph.D. from the University of Notre Dame in the Department of Anthropology.

Field brings expertise in climate modeling, geospatial analysis and remote sensing.
His research revolves around understanding how communities adapt to climate stress
in arid environments, using LiDAR technology to visualize and compare archaeological
field sites. Field will continue his research in archaeological visualization, exploring
the intricate relationship between humans and their changing environments.

— Meridith Joyce will join UW in 2024 as an assistant professor, joint with the Department
of Physics and Astronomy, and adjunct in the Department of Mathematics and Statistics.
She holds a B.S. in mathematics and a B.S. in physics from Bucknell University, as
well as a Ph.D. in physics and astronomy from Dartmouth College.

Joyce is an expert in computational stellar astrophysics who has trained as a Lasker
Data Science Prize Fellow at NASA’s Space Telescope Science Institute and is currently
a Marie Sklodowska-Curie Widening Fellow at the Konkoly Observatory in Hungary. She
specializes in high-performance computing and data science, with a focus on astrophysics,
computer science and data science intersections. Her research at UW will center on
developing a significant numerical catalog in astrophysics, using large astronomical
datasets and the MESA software instrument.

— Benjamin Koger, joining UW as an assistant professor, joint with the Department
of Zoology and Physiology, and adjunct in the Haub School, is an expert in the study
of collective animal behavior. He earned a bachelor’s degree in electrical engineering
from Princeton University and a Ph.D. in biology from the University of Konstanz.

With a strong background in computer science and ecology as a Washington Research
Foundation Postdoctoral Fellow at the University of Washington, Koger combines deep-learning
techniques and computer vision to generate valuable insights into animal populations
and behaviors. His work contributes significantly to the conservation of the natural

— Stefan Rahimi, an assistant professor with a major appointment in the Department
of Atmospheric Science, joint with the School of Computing, and a UW Derecho Assistant
Professor, was hired through UW’s WY-ACT: Wyoming Anticipating Climate Transitions
project. He is leading research on hydroclimate shifts and climate projection quality.

Rahimi earned bachelor’s and master’s degrees in meteorology from the University of
Oklahoma and a Ph.D. in atmospheric science from UW. As a regional modeling lead at
UCLA, Rahimi has conducted research on understanding and modeling Wyoming’s unique
weather patterns.

With the support of the National Science Foundation-funded WY-ACT project, Rahimi
will explore the integration of artificial intelligence/machine learning methods in
weather prediction and climate modeling. He will foster collaboration among the Department
of Atmospheric Science, the School of Computing and other departments, driving advancements
at the intersection of artificial intelligence/machine learning and atmospheric science.

— Dane Taylor joins UW as an assistant professor, joint with the Department of Mathematics
and Statistics, and adjunct in the Department of Electrical Engineering and Computer
Science from the State University of New York-Buffalo. He completed his undergraduate
education at UW with bachelor’s degrees in physics and electrical engineering, and
he completed his M.S. and Ph.D. in applied mathematics at the University of Colorado-Boulder.

Taylor specializes in the study of complex systems using mathematical models. His
expertise is in developing algorithms and computational techniques to analyze various
types of data, such as networks and interconnected information. His research centers
on unraveling the patterns and connections within large datasets to understand the
behavior and interactions of complex systems, including neural networks and self-organizing
networks. Taylor will facilitate collaboration with colleagues from different disciplines,
offering new insights into the behavior and applications of complex systems.

With the exception of Joyce, the new faculty members will begin their work on the
UW campus this fall. They will play a crucial role in leading research efforts that
directly relate to Wyoming’s computing and technology needs. They also will advance
the application of artificial intelligence/machine learning and big data in science,
technology, engineering and mathematics, specifically tailored to the state’s research
interests and needs.

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