With Doctoral Degrees in Hand, New Tepper School Alumni Embark on Careers
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Graduates of the Ph.D. program at the Tepper School of Business at Carnegie Mellon University are embarking on their new career paths now that they have completed their academic journeys.
They join an impressive network of more than 20,000 Tepper School alumni research scholars, including nine Nobel laureates. In addition, the graduates are part of the larger Carnegie Mellon University network of more than 110,000 alumni worldwide.
Career Destinations
Daniel de Roux Uribe will head to Mountain View, California to work as a research scientist at Google. His dissertation, titled Outer Approximation for Semidefinite Programs and a Vector Clock Problem, explored a new approach to solve certain kinds of optimization problems by exploiting a special structure that sometimes can be found in those problems.
Samuel Levy will join the Darden School of Business at the University of Virginia as an assistant professor of marketing. Levy’s research contributes to improving marketing analytics by building more flexible, scalable, and interpretable models of consumer behavior to inform optimal decision-making, in particular on data privacy, pricing, and branding. The dissertation title is Essays on Bayesian Machine Learning in Marketing.
Sae-Seul Park’s new role is as an assistant professor at the Rotman School of Management at the University of Toronto. In her dissertation, Essays on Human Capital and Organizational Performance, Park studies how the development, control, and management of strategic human capital underlies intraorganizational processes that influence firm performance. She examines how heterogeneous human capital characteristics within an organization relate to the antecedents and consequences of human capital development and intra-organizational knowledge transfer for performance outcomes.
Savannah Tang will be an assistant professor in operations management at the Cox School of Business at Southern Methodist University. Her dissertation title is Addressing Challenges in Public Service Operations Management: Data-Driven Solutions and Strategies. Tang explores how data and mathematical models can enhance important decision-making in public service management, in areas like organ transplants and child welfare support. The research examines efficient and fair ways to share limited resources and work with technology to make better decisions.
Qiaochu Wang will be an assistant professor at the Stern School of Business of New York University. Wang’s dissertation title is Artificial Intelligence/Machine Learning Economics: Transparency, Competition, and Collusion. The work examines the economic impacts of integrating AI technologies in business sectors. It offers managers, researchers, and policymakers enhanced insights into how AI transforms market dynamics and provides guidance on the utilization and regulation of these emerging technologies.
Lavender Yang will join Harvard University in a post-doctoral role, working on the Corporate Net-Zero Target project and continuing research on climate regulations and corporate performance. Given the increasing prominence on climate change issues and heightened regulatory environment, Yang examines the economic impact of climate disclosure regulation. It investigates how affected firms respond to disclosure requirements and whether the policy is effective at informing investors and the public about firms’ environmental performance. The title of Yang’s dissertation is Essays on Climate Disclosure Regulations.
Mik Zlatin will begin post-doctoral work at the Weizmann Institute of Science in Israel sponsored by Robert Krauthgamer, professor and department head of Computer Science and Applied Mathematics. Zlatin designs fast algorithms for problems which arise in the development of robust networks. While these are of practical use, another major goal is to better understand the structure and limits of computational methods in general for these fundamental problems on networks.