New Faculty 2020-2021

NYU Stern's more than 300 faculty members include current and past presidents of academic associations and award-winning authors. Over the last decade, the creation of an unprecedented number of endowed chairs and named professorships has been instrumental in attracting to Stern top-tier senior faculty from the world's leading research institutions. Stern's junior faculty is also widely regarded as one of the finest in the nation.

Assistant Professors

Chongho Kim

Chongho Kim

Chongho Kim is Assistant Professor of Accounting. He received his B.B.A. from Seoul National University, his M.P.A. from the University of Texas at Austin, and his Ph.D in Accounting from the Wharton School of the University of Pennsylvania.

Kim’s research examines how financial information is shaped by its producers’ characteristics and how it influences its users’ economic decisions, with a particular focus on its interrelated nature (e.g., across firms). His research combines theories from information economics with empirical methodologies in various manners, including structural estimation, to examine the interrelationship of financial information such as spillover effects of mandatory financial reporting and disagreement underlying analysts’ reports.

Prior to joining NYU, Kim worked at PricewaterhouseCoopers both as an audit associate in the manufacturing/construction practice and as a tax associate in the insurance practice. He is a Certified Public Accountant (Massachusetts).

Joshua Lewis

Joshua Lewis

Joshua Lewis is Assistant Professor of Marketing. He received his B.S. in Economics from the University of Warwick. He holds a Ph.D in Decision Processes from the University of Pennsylvania.
 
Lewis researches how to motivate and facilitate effective altruism. How can marketers help encourage individuals to apply their talents to achieving the greatest positive impact? How can they overcome the psychological factors that might impede these efforts? More generally, his research addresses how and why people make inconsistent and biased decisions. His work has been published in leading journals such as Psychological Science and Journal of Experimental Psychology: General.
 
This is Lewis’ first academic appointment. In 2019, he received the Society for Judgment and Decision Making’s Hillel Einhorn Award for the best paper by a new investigator. He applies his research in the nonprofit sector as a trustee for the Tabora League for Children and as an advisory board member for The Life You Can Save.

Raveesh Mayya

Raveesh Mayya

Raveesh Mayya is Assistant Professor of Technology, Operations, and Statistics. He received his B.E. from Visveswaraya Technological University and his M.B.A from the Faculty of Management Studies, University of Delhi (FMS Delhi). He received his Ph.D in Information Systems from Smith School of Business, University of Maryland.

Mayya’s research focuses on technology-enabled platforms, such as online sharing markets or mobile app marketplaces, as the enablers of efficient transactions and mitigators of asymmetric information. He uses a combination of methodologies including econometric analyses, field experiments, and machine learning to study issues of interest in mobile platforms, online sharing platforms, and Smart-TV platforms, as well as entrepreneurial platforms such as seed accelerators.

Prior to joining NYU, Mayya worked with the Mahindra Group in their Group Management Cadre (GMC) leadership pipeline program and with Cisco Systems as a software developer. His research was chosen as one of the Best Papers at the AOM Annual Meeting in 2019, and he also received the Best Doctoral Paper in Innovation and Entrepreneurship by Ed Snider Center, the Frank T. Paine Award for Academic Excellence, and the Allan N. Nash Outstanding Doctoral Student Award, the highest doctoral awards at Smith School of Business. He’s also been awarded the prestigious Distinguished Teaching Award by the Smith School.

Andrés Sarto

Andrés Sarto

Andrés Sarto is Assistant Professor of Finance. He received his B.A. and Postgraduate Degree in Economics from Universidad Torcuato Di Tella in Buenos Aires, and his Ph.D in Economics from MIT.

Sarto’s research interests lie at the intersection of macroeconomics, finance, and empirical methods. Recently, he has investigated new ways of leveraging regional variation across time to estimate macroeconomic elasticities at the national level. He has also developed new methods to estimate general equilibrium multipliers and has applied them to study multipliers induced by credit supply shocks. 

Prior to joining NYU, Sarto was a Postdoctoral Research Associate at Princeton University.

João Sedoc

João Sedoc

João Sedoc is Assistant Professor of Technology, Operations, and Statistics. He received his B.S. in Mathematics, B.S.E. in Computer Science Engineering, and Ph.D in Computer and Information Science from the University of Pennsylvania.
 
Sedoc's research areas are at the intersection of machine learning and natural language processing. His interests include conversational agents, hierarchical models, deep learning, spectral clustering, spectral estimation of hidden Markov models, and time series analysis.
 
Prior to joining NYU, Sedoc worked as an Assistant Research Professor in the Department of Computer Science at Johns Hopkins University. He has also worked in quantitative finance, having started Chivalric Trading, been a portfolio manager at Millenium Partners, and worked as a researcher at BNP Paribas / Cooper Neff.

Zhengyuan Zhou

Zhengyuan Zhou

Zhengyuan Zhou is Assistant Professor of Technology, Operations, and Statistics. He received his B.A. in Mathematics and B.S. in Electrical Engineering and Computer Sciences, both from UC Berkeley. Subsequently, he received a Master’s in Computer Science, a Master’s in Statistics, a Master’s in Economics, and a Ph.D in Electrical Engineering (with minors in Mathematics and Management Science & Engineering), all from Stanford University.

Zhou’s research interests lie at the intersection of machine learning, stochastic optimization, control, and game theory, and focus on leveraging tools from those fields to develop methodological frameworks to solve data-driven decision-making problems.

Prior to joining NYU, Zhou spent 2019-2020 as a Goldstine research fellow at IBM research and a visiting scholar at NYU Stern.

Full-Time Continuing Contract Faculty

Pricila Maziero

Pricila Maziero is Clinical Professor of Economics. She received her B.A. in Economics, her M.A. in Economics from the University of São Paulo, and her Ph.D in Economics from the University of Minnesota.

Maziero conducts research on optimal dynamic contracts applied to macroeconomics, public finance and corporate finance. Her work focuses on theoretical and empirical implications of private information and limited commitment on consumption and income inequality, taxation, and wages and debt contracts. Some of her recent research analyzes the theoretical and empirical joint determination of CEO compensation and a firm’s financing decisions.

Prior to joining NYU, Maziero had been an Assistant Professor of Finance at the Wharton School of the University of Pennsylvania since 2009. Prior to joining Wharton, she was a Research Analyst at the Minneapolis Federal Reserve Bank from 2005 to 2009.