The capabilities of AI has dramatically increased over the past year. This session will provide a space to discuss innovative ways researchers across departments are integrating AI into their statistical workflows, as well as a space to discuss concerns about the best ways to maintain the scientific rigor and reproducibility in the process.
Vyoma Raman is a PhD student in Information Science at Cornell Tech / Cornell University.
Amy Kuo Somchanhmavong is Associate Director of the David M. Einhorn Center for Community Engagement. She has initiated, directed, and coordinated co-curricular and curricular-based community-engaged learning programs such as the Public Service Scholars Program, Public Achievement, and the Person-Centered Care Advocacy Team (PCAT). As a practitioner of the field, Amy has worked in community engagement for 15+ years, serving as a bridge builder for faculty and staff members with community-based organizations as well as nonprofit, nongovernmental, and grassroots projects. Melina Ivanchikova is an Associate Director at the Center for Teaching Innovation, Cornell University. At the heart of Melina Ivanchikova's pedagogy is an […]
Amy Kuo Somchanhmavong is Associate Director of the David M. Einhorn Center for Community Engagement. She has initiated, directed, and coordinated co-curricular and curricular-based community-engaged learning programs such as the Public Service Scholars Program, Public Achievement, and the Person-Centered Care Advocacy Team (PCAT). As a practitioner of the field, Amy has worked in community engagement for 15+ years, serving as a bridge builder for faculty and staff members with community-based organizations as well as nonprofit, nongovernmental, and grassroots projects. Melina Ivanchikova is an Associate Director at the Center for Teaching Innovation, Cornell University. At the heart of Melina Ivanchikova's pedagogy is an […]
Kaitlyn Zhou is an assistant professor of information science and a senior research scientist at Together AI. Her research focuses on the dynamics of human interaction with language models (human-LM interaction), focusing on how generated language shapes human decision-making, reliance, and trust. Her contributions have been recognized at top-tier conferences in natural language processing and human computer interaction. She has received awards such as an NAACL Best Paper Runner-Up, an MIT EECS Rising Star, a Stanford graduate fellowship, and the College of Engineering Dean’s Medal. Her methods have been featured in high-profile news outlets like the New York Times and Wall […]
Join us for this exclusive in-person event filled with presentations and panel discussions covering topics like: AI-powered clinical decision-making, Scaling virtual healthcare delivery, and Predictive analytics in real-world systems. PLUS: Built-in time for networking.
This CAHRScast session will examine how AI is influencing talent development, including the design, delivery, and personalization of learning and development experiences.
Charvi Rastogi is a Research Scientist at Google DeepMind.
Josh Blumenstock is a Chancellor's Professor at the School of Information and the Goldman School of Public Policy at the University of California, Berkeley, where he directs the Global Opportunity Lab.
Jessica Ratcliff is an Associate Professor in the Department of Science & Technology Studies at Cornell University.
