Meet New ICES Director Dr. Karen Willcox

The Institute’s new leader co-directed MIT’s computational programs, chaired ICES board

Developing Leaders Within
Computational Engineering and Sciences

The Institute for Computational Engineering and Sciences (ICES) fosters interdisciplinary research and graduate studies for developing high-performance computing solutions to address complex societal problems.
Our Ph.D. program ranks number one in the world according to CWUR.


Student graduating

Graduate Studies (CSEM)

The Computational Science, Engineering, and Mathematics (CSEM) graduate program is an interdisciplinary program leading to the PhD degree that prepares students for the field of computational and mathematical modeling.

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Postdoctoral Fellowships

The Institute annually offers generous Postdoc fellowships coupled with employee benefits and relocation expense reimbursements. Applications are accepted until Jan. 1 for the following fall semester.

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Undergraduate Studies

Undergraduate offerings include summer internships, a certificate program, and a five-year joint degree combining a bachelor’s degree in Computer Science with a master’s degree in Computational Science, Engineering, and Mathematics.

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ICES News

Arctic Ocean Exhibit

ICES hosts "Exploring the Arctic Ocean" art exhibition

While the Arctic has long been subject to exploration, its very core, the Arctic Ocean remains an uncharted territory for many. An exhibition developed by ICES researchers, Exploring the Arctic Ocean Sept. 21-Dec. 7, brings together eight diverse projects that rely on the power of visual media to make these unknown waters accessible. The projects—video installations, photographic series, and data visualizations—revolve around the inherent dynamics of the Arctic Ocean’s unique but changing environment, its increasingly important geopolitical role, and its many cultural meanings. Read more.

Sept. 18, 2018

Bajaj ribosome

Images and Geometry Visualized: Chandrajit Bajaj Builds Framework for Data Science

The research website of Chandrajit Bajaj is adorned with colorful renderings of biological subjects: there are ribosomal subunits, neurons, and even an entire human abdomen.

The renderings are samples of his work. But Bajaj is no biologist. His research focuses on the geometry underlying complex structures, and how computers can be used to investigate that data and map it into a range of computational models and quantifiable visual information. It turns out that Bajaj’s research is just what biomedical researchers need to bring their research subjects into view—and complex enough to drive forward his own data analysis and visualization research Read more.

Sept. 12, 2018

Frontera Promo image by Dr. Ghattas

"Frontera," New $60 Million UT Supercomputer, Fastest at any University, Will Accelerate ICES Work

The National Science Foundation (NSF) announced today that it has awarded $60 million to the Texas Advanced Computing Center (TACC) at The University of Texas at Austin for the acquisition and deployment of a new supercomputer that will be the fastest at any U.S. university and among the most powerful in the world.

The new system, known as Frontera (Spanish for “frontier”), will begin operations in 2019. It will allow the nation’s academic researchers to make important discoveries in all fields of science, from astrophysics to zoology, and further establishes The University of Texas at Austin’s leadership in advanced computing. Read more.

Aug. 29, 2018

Hawkins' dna 2018

Hawkins' DNA Barcodes That Reliably Work: A Game-Changer for Biomedical Research says National Academy

In the same way that barcodes on groceries help retailers know what’s in a cart, DNA barcodes help biologists attach genetic labels to biological molecules to do their own tracking during research, including how a cancerous tumor evolves, how organs develop or which drug candidates actually work. Unfortunately with current methods, many DNA barcodes have a reliability problem much worse than a corner grocer’s. They contain errors about 10 percent of the time, making interpreting data tricky and limiting the kinds of experiments that can be reliably done. ICES alumnus John Hawkins and Professor Bill Press have changed that. Read more.

June 21, 2018

Amir

Medical Image Analysis Work of Amir Gholaminejad earns UT Austin’s 2018 Outstanding Dissertation Award

An MRI scan of a patient’s brain is currently one of the best sources of information for a neurologist investigating a tumor. The scan shows the location of a tumor, the composition of the tissue, and how it may be entangled with other tissues in the brain, from blood vessels to nerve bundles. It’s the kind of information that is key for the treatment planning. Read more.

June 19, 2018

Featured ICES Research Group

The Center for

Computational Oncology

CSEM Student Andrew Wilson
CSEM Student Bio Spotlight -

Andrew Wilson

Andrew’s Ph.D. program races alongside his Olympic swimming dreams. He earned two undergraduate degrees in physics and applied math while swimming into the 2016 Olympic qualifying rounds. He hopes to do the same while pursuing his Ph.D.

See CSEM Student Bios