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Sekhon named Meyer Professor of Political Science and Statistics and Data

April 12, 2021 Share this with FacebookShare this with TwitterShare this with LinkedInShare this with EmailPrint this Jasjeet Sekhon Jasjeet Sekhon, who conducts research on causal inference, machine learning, and experimental design, has been named the Eugene Meyer Professor of Political Science and of Statistics and Data Science. His appointment was effective Feb. 20. A member of the Faculty of Arts and Sciences, Sekhon has applied his work across the social sciences, including political science, economics, and epidemiology. His research focuses on methods for causal inference in observational and experimental studies and evaluating social science, public health and medical interventions. He has studied elections, voting behavior, and public opinion in the U.S., multivariate matching methods for causal inference, machine learning algorithms for irregular optimization problems, robust estimators with bounded influence functions, health economic cost effectiveness analysis, and

Yale researchers size up the mental health toll of the pandemic

By Brita Belli April 12, 2021 Share this with FacebookShare this with TwitterShare this with LinkedInShare this with EmailPrint this (Illustration by Michael S. Helfenbein) For all the attention paid to the short and long-term physical effects of COVID-19, the disease has serious mental health consequences, too.  In a new report, Yale researchers examine how the pandemic is affecting our brains in particular the prefrontal cortex, the part of the brain that is involved in decision making, impulse control, and emotional regulation. For 44 to 66 million disadvantaged Americans, the researchers say, the pandemic is exacerbating existing stressors including financial insecurity and systemic racism which impairs prefrontal cortical performance that is critical for regulating emotions and coping, among other functions. 

Turning CO2 and wastewater into something useful, with support from a fan

By Jim Shelton April 5, 2021 Share this with FacebookShare this with TwitterShare this with LinkedInShare this with EmailPrint this (© stock.adobe.com) It’s not often that a breakthrough in sustainable chemistry is influenced by a fan letter. Yet that’s what happened for Yale chemist Hailiang Wang, whose lab creates small-molecule and nanomaterial catalysts that remove unwanted material from the environment such as carbon dioxide in the atmosphere and turn it into something useful. In 2019, the journal Nature published a study from Wang’s lab that featured a new carbon dioxide conversion catalyst. Several weeks later, Wang received an email from Robert Tuttle, a Yale alumnus who winters in Naples, Florida, who had read about Wang’s research.

Machine learning: Economics and computer science converge

By Greg Larson March 31, 2021 Share this with FacebookShare this with TwitterShare this with LinkedInShare this with EmailPrint this Philipp Strack Today’s digital economy is blurring the boundaries between computer science and economics in Silicon Valley, on Wall Street, and increasingly on university campuses. Yale undergraduates interested in both fields can pursue the Computer Science and Economics (CSEC) interdepartmental degree program, which launched in fall 2019, with coursework covering topics such as machine learning and computational finance. Philipp Strack, CSEC’s inaugural director of undergraduate studies, is comfortable straddling multiple disciplines. With an academic background in economics and mathematics, his research reflects this broad and interdisciplinary outlook ranging from behavioral economics and neuroscience to auction design, market design, optimization, and pure probability theory.

Yale fellow shines a light on star signals

By Jim Shelton March 31, 2021 Share this with FacebookShare this with TwitterShare this with LinkedInShare this with EmailPrint this Rachael Roettenbacher A Yale astronomy fellow’s star power just received a boost. Rachael Roettenbacher has been named a 51 Pegasi b Fellow by the Heising-Simons Foundation. The prestigious fellowship, which is named for the first exoplanet discovered orbiting a Sun-like star, provides up to $375,000 in support for independent research over three years. Roettenbacher, who is currently in her third year as a Yale Center for Astronomy and Astrophysics Postdoctoral Fellow, studies new techniques for observing signals from distant stars and whether those signals are preventing us from spotting signals from nearby exoplanets.

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