Now Hiring: Postdoctoral Researcher with the Wharton Operations, Information and Decisions Department

Wharton AI & Analytics Initiative

The Wharton Operations, Information and Decisions Department of the Wharton School at the University of Pennsylvania is seeking a highly motivated Postdoctoral Researcher to work on the conceptualization, design, and empirical study of digital twins of business processes. The scholar will collaborate closely with faculty to develop a rigorous understanding of how real-world organizational processes can be digitally represented, simulated, and analyzed using modern data, AI, and process modeling techniques.Read More

The Wharton Accountable AI Research Conference Asks Who Should Govern AI, and How

Kevin Werbach, Faculty Lead of the Wharton Accountable AI Lab, hosts a panel

On February 6, the Wharton Accountable AI Lab hosted its first-ever Accountable AI Research Conference, bringing together academics, policymakers, and industry leaders to tackle one of the defining questions of the moment: as artificial intelligence reshapes every sector of the economy, who is responsible for making sure it’s done right?Read More

Wharton Professor Weijie Su Receives 2026 COPSS Presidents’ Award

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Weijie Su, an Associate Professor of Statistics and Data Science at the Wharton School and affiliated faculty with the Wharton AI and Analytics Initiative, recently received the 2026 Presidents’ Award from the Committee of Presidents of Statistical Societies (COPSS). The award is considered to be one of the highest honors in the field of statistics and recognizes Su for his outstanding contributions to the discipline. Read More

How the Wharton AI & Analytics Accelerator Helped Penn Vet Turn Data Into Action

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When Penn Vet joined the Wharton AI & Analytics Accelerator in Fall 2025, the goal was clear but ambitious: make better use of years of client and hospital data to strengthen engagement, fundraising, and long-term strategy. For Chase Engel, Assistant Director of Annual Giving, and Sarah Trout, Associate Director of Advancement Services, the Accelerator offered a rare opportunity to step back from day-to-day operations and ask deeper, data-driven questions about how Penn Vet connects with its community.Read More

From Hype to Habit: How AI Is Actually Transforming Business

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AI is moving at a blistering pace, with new developments in models and their impact on the business world, it can be hard to keep up. Luckily, we have experts like Ritcha Ranjan, Senior Vice President of Product at Expedia Group and Advisory Board Member with the Wharton AI & Analytics Initiative, to help us make sense of it all. In a recent interview with Eric Bradlow, Vice Dean of AI & Analytics at Wharton, the pair helped make sense of the current state of AI. Here are the key takeaways from their conversation.Read More

WAIAI Welcomes New Appointments for 2025-2026 Academic Year

A blue and purple graphic with text announcing the Wharton AI & Analytics welcomes new appointments for 2025-2026, featuring the University of Pennsylvania logo.

The Wharton AI & Analytics Initiative (WAIAI) is proud to welcome a distinguished group of Executives in Residence, Senior Fellows, and Visiting Scholars for the new academic year. These leaders bring diverse expertise spanning academia, industry, and public service, enriching WAIAI’s mission to advance AI and analytics in business, research, education, and society. Together, they will provide thought leadership, mentor students, collaborate on cutting-edge research, and strengthen the bridge between academic discovery and real-world application.Read More

The Complexities of Auditing Large Language Models: Lessons from Hiring Experiments

A person is giving a presentation to an audience in a conference room. The screen displays "Auditing the Use of AI Models to Guide..." with names and affiliations. The audience is seated at tables, listening attentively.

As AI becomes a fixture in hiring, evaluation, and policy decisions, a new study funded by the Wharton AI & Analytics Initiative offers a rigorous look at a critical question: Do race and gender shape how Large Language Models (LLMs) evaluate people? If so, how can we tell? The answer is, according to Prasanna “Sonny” Tambe, Faculty Co-Director of Wharton Human AI Research, and others, is complex, and the implications matter for every organization deploying LLMs at scale. Here are the key takeaways you need to know from Tambe’s latest research on LLM bias and auditability.Read More

Wharton AI & Analytics Accelerator Helps RxSense Tackle AI Challenges in Healthcare

A small group of people in formal attire are giving a presentation. One person is speaking, with a chart displayed on a screen behind them. Others in the room are seated, listening attentively.

Rick Bates, WG’96, CEO of RxSense, joined the Wharton AI & Analytics Accelerator to explore new solutions to two high-priority challenges: automating long-range drug pricing forecasts and reverse-engineering pharmacy benefit plans. Through the 8-week collaboration, RxSense gained fresh modeling approaches, actionable AI frameworks, and a clearer path to full automation—outcomes that are now directly shaping the company’s internal analytics strategy and future hiring. The project exemplifies how companies can leverage the Accelerator to solve complex problems and accelerate innovation.Read More