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Aaron Elmore, assistant professor at UChicago Computer Science, develops database models that use intermittent query processing (IQP). The approach grafts machine learning prediction to database processing, providing more efficient computation to systems working with bursty data or intermittent monitoring. As a new recipient of the CAREER award, the National Science Foundation's most prestigious award in support of early-career faculty, Elmore will continue designing these innovative systems for data-driven applications.

This month PSD researchers have been featured for their efforts to bring software that makes quantum computing faster to the market, to speed up development of materials that can harness energy from sunlight, and to pioneer US quantum research and design a new internet protocol that manages different types of quantum information encoding.

Prof. Bozhi Tian’s group has a newly patented method for fabrication of carbon-based bioelectronic devices and interfaces that could shape therapeutics of the future. The discovery demonstrates electrical biosensing that is more flexible, efficient, and stable.

As part of a nationwide initiative to boost research in quantum science, the National Science Foundation will establish a $25 million institute in Chicago to investigate quantum sensing for biology and train the quantum workforce. Headquartered at the University of Chicago and in partnership with Chicago State University, the University of Illinois at Chicago and Harvard University, the institute will be funded for five years.

The University of Chicago will award two PSD alumnae for their professional achievements in a Nov. 5 ceremony. Katherine Freese, PhD’84, is a professor of physics at the University of Texas at Austin—where she holds the Jeff and Gail Kodosky Endowed Chair in Physics—and professor of physics at Stockholm University in Sweden. Zhenan Bao, SM’93, PhD’95, is department chair and K.K. Lee Professor of Chemical Engineering, and by courtesy, a professor of chemistry and a professor of material science and engineering at Stanford University.

UChicago chemists specializing in mathematical physics, materials chemistry, and physical chemistry are part of a team of scientists who have received $3 million in funding to support three years of quantum information science research. Working with Harvard University and Purdue University, the collaboration will try to build the foundations for using quantum computers to model molecules at the atomic level—yielding not only insights that could lead the way to new chemical discoveries, but potentially laying the groundwork for quantum computing as a whole.

A new data science major will help UChicago undergraduates learn how to analyze data and apply it to critical real-world problems in various disciplines. Students also have the option to combine data science with a second major.

Crain’s Chicago Business profiles UChicago’s major investment in quantum computing research in hopes of putting itself and Chicago at the forefront of the next big innovation in technology.

In a letter sent to members of the University community on his first day in Levi Hall, the leading chemist and new president wrote he will spend the fall in listening and planning sessions. He would like to explore two particular aspects: the UChicago of deep inquiry and scholarship, and the “engaged” UChicago in the world of practice.

As part of a new $61 million investment from the Department of Energy in quantum research, a consortium of scientists from University of Chicago, Argonne National Laboratory, and University of Illinois at Urbana-Champaign were awarded funding to design a new internet protocol that manages different types of quantum information encoding.

Professor of Chemistry Giulia Galli is among a team of scientists at Argonne National Laboratory using machine learning to speed up development of materials that can harness energy from sunlight. The team was able to simplify the solution of the quantum mechanical equations that describe how light is absorbed by a solid, liquid or molecule.

In 2011, a team of MIT researchers including UChicago associate professor Hank Hoffmann (then a graduate student) proposed a “loop perforation” algorithm that gave computers a generalizable option to go off-script and sacrifice accuracy in favor of performance. Though the paper was controversial when originally presented at FSE (The ACM Symposium on the Foundations of Software Engineering), its tradeoff principles have since become widespread in computer science. To celebrate this forward-thinking research, FSE recently awarded Hoffmann and his co-authors Stelios Sidiroglou, Sasa Misailovic, and Martin Rinard the honorable mention in their annual Test of Time award.

Elizabeth Wells Kelley was born and raised in Mechanicsville, Virginia. Before coming to the University of Chicago, she earned a bachelor's in chemistry at the College of William & Mary, where she was a research assistant, teaching assistant, and tutor. She is starting her fifth year in the Department of Chemistry doctoral program. She has taken time off during her program to teach high school chemistry at the University of Chicago Laboratory Schools. Now returned to her research, she works on organic synthesis and the scientific investigation of how humans learn, teach, and interact with chemistry.
 

In this latest episode of the podcast Big Brains, space historian Jordan Bimm examines our militaristic relationship to the stars, and how it still shapes our future.

Just out of stealth, Seymour Goodman Professor of Computer Science Fred Chong and Pranav Gokhale, PhD’20, have a new startup for software that makes quantum computing faster. Part of Duality, the first accelerator in the U.S. for quantum startups, Super.tech is building software to power next-gen quantum computing.