Experts for the Media
Journalists and members of the news media
University of Rochester faculty experts and academic thought leaders are available for commentary, interviews, and speaking opportunities on thousands of subjects.

Research Matters: Targeting ‘jumping genes’ holds promise for treating age-related diseases
A growing number of clinical trials gauging the effects of inhibiting transposons, so-called “jumping genes,” have yielded encouraging results for treating Alzheimer’s and a wide range of other conditions.
Vera Gorbunova, a molecular biologist at the University of Rochester whose research on the causes of aging and cancer is widely regarded as pioneering, says researchers tackling aging “need something new, and inhibiting transposons shows great promise.”
Gorbunova’s comments were recently featured in Science magazine, a leading news outlet for
cutting-edge research in all areas of science.
Researchers say clinical trials of transposon inhibitors are important not just to identify potential treatments, but also to test whether jumping genes do, in fact, drive human diseases, as many suspect.
Transposon genes are found in a diverse variety of organisms, from miniscule bacteria to humans, and they are known in biological terms as “transposable elements” because they literally jump around the genome. Their vagrancy has been implicated in illnesses such as lupus, Parkinson’s disease, cancer, and aging.
Gorbunova is a recognized expert in aging and cancer whose research has been featured in high-profile publications ranging from Nature to The New York Times. Reach out to Gorbunova by clicking on her profile.

May 01, 2025
1 min

Research Matters: Physics Magic with a Twist
University of Rochester scientists have discovered that twisting together two atom-thin flakes of molybdenum diselenide at high angles produces artificial atoms that can act as quantum information bits, or qubits.
The discovery was made in the laboratory of Nickolas Vamivakas, the Marie C. Wilson and Joseph C. Wilson Professor of Optical Physics, who says he hopes the artificial atoms can be used like memory or nodes in a quantum network.
“These could be the backbone for devices like the next generation of lasers or even tools to stimulate quantum physics,” Vamivakas says.
The revelations built on experiments that found twisting a pair of one-atom-thick layers of graphene at the “magic” angle of 1.1 degrees created a superconductive material.
Molybdenum diselenide, like graphene, is a 2D material. When monolayers of it are twisted at angles up to 40 degrees, they produce excitons, or artificial atoms, that retain information when activated by light.
The discovery was recently published in Nano Letters. To learn more about Vamivakas’s research, read about it at the University of Rochester News Center and contact him at nick.vamivakas@rochester.edu.
April 29, 2025
1 min

Should I use AI to write my college entrance essay?
With the rapid advancement of artificial intelligence tools such as generative pre-trained transformers, or GPTs, high school students may be tempted to use the tools to perfect their college applications, particularly their entrance essay.
Robert Alexander, a vice provost and the dean of enrollment management at the University of Rochester, cautions prospective college students from relying too heavily on AI tools in their applications.
“The sentiment among college admissions professionals is that while AI tools may be helpful in generating essay topics and refining or editing students’ writing, we discourage their use to compose application essays or short answers because AI stifles an applicant’s authentic voice,” Alexander says.
That personal voice becomes paramount when admissions officers are sifting through applications and considering how each student will contribute to the campus community and fit into the incoming class.
“No college or university is trying to admit perfectly identical automaton students,” Alexander says. “At the University of Rochester, for instance, we’re not looking for 1,300 perfect students. We’re trying to craft the perfect class of 1,300 very different and highly-imperfect, but great-fit students.”
The goal, he says, is to invite great students, inclusive of their imperfections, and guide them on a transformative journey through their next four years.
“Colleges want students to come in with a growth mindset and potential,” Alexander says. “So, if students think they can use AI to help make their application ‘perfect,’ I think they’re chasing the wrong brass ring.”
Alexander is an expert in undergraduate admissions and enrollment management who speaks on the subjects to national audiences and whose work has been published in national publications. Click his profile to reach him.

April 24, 2025
2 min
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Zhen Bai
Assistant Professor of Computer Science
Bai is an expert in human-computer interaction, augmented reality, and artificial intelligence (AI)
Human-Computer Interaction
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Tong (Tony) Geng
Assistant Professor of Electrical and Computer Engineering and Computer Science
Geng is an expert in artificial intelligence foundations and applications in many fields
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Hangfeng He
Assistant Professor of Computer Science and Data Science
He is an expert in artificial intelligence (AI) and natural language processing
Artificial Intelligence and Reasoning
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Christopher Kanan
Associate Professor of Computer Science
Christopher Kanan's research focuses on deep learning and Artificial Intelligence (AI)
Applied Machine Learning (e.g. Medical Computer Vision)
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Jian Kang
Assistant Professor of Computer Science
Kang is an expert in artificial intelligence (AI) and machine learning and ethics and safety
Uncertainty Quantification
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Mitchell Lovett
Associate Professor of Marketing
Mitchell Lovett applies and develops quantitative methods to study marketing problems; Artificial Intelligence (AI) expert
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Jiebo Luo
Albert Arendt Hopeman Professor of Engineering / Professor of Computer Science
Luo is an expert in artificial intelligence (AI) foundations in an array of fields
Artificial Intelligence and Social Science
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Robert Novy-Marx
Lori and Alan S. Zekelman Distinguished Professor of Finance
Robert Novy-Marx is an award-winning expert on empirical asset pricing, empirical methods, and public finance.
AI
Empirical Methods
Empirical Asset Pricing
Public Finance
Chenliang Xu
Associate Professor of Computer Science
Xu is an expert in artificial intelligence (AI) and machine learning and computer vision, and augmented and virtual reality
Virtual Reality
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Artificial Intelligence and Computer Vision