Huang selected for Emerging Research Leaders Academy

Yun Huang
Yun Huang, Associate Professor

The Interdisciplinary Health Sciences Institute (IHSI) at the University of Illinois has selected Associate Professor Yun Huang for the 2024-25 Emerging Research Leaders Academy (ERLA). Designed for mid-career faculty to achieve research success, the program provides vital leadership and team science training to pursue large, multi-PI grants, lead campus research initiatives, enhance their own research programs, and ultimately position Illinois for research excellence. 

Chosen from a pool of nearly 40 applicants, the 2024-25 cohort represents 15 units from eight colleges at Illinois. Throughout the Fall 2024 and Spring 2025 semesters, the cohort will attend a series of monthly, in-person workshops designed to support the development of strategic leadership and management skills and inspire the application of those skills to research. Each three-hour workshop includes a presentation by an on- or off-campus subject expert and an interactive discussion or activity on topics such as leading and managing teams, building diverse and inclusive teams, mentoring, and effective research communication.

The 2024-25 cohort will develop a five-year action plan for their personal and research growth. On April 16, 2025, the cohort will present their action plans to peers, department heads, and other campus leaders, receiving certificates of completion and recognition as Emerging Research Leadership Scholars during the celebration reception. 

Following participation in ERLA, members of the cohort will be invited to become IHSI affiliates, which includes ongoing engagement with and support from IHSI as they continue their leadership journey. Based on feedback from the 2023-24 ERLA cohort, program facilitators are also planning ERLA alumni events such as a center grant workshop and a 360-feedback assessment.

Huang specializes in human-AI interaction and social computing. She is passionate about developing systems that foster collaborative innovation between humans and AI, whether it is to conceive new services or enhance existing ones. Her work is sponsored by government agencies such as the National Science Foundation, Institute of Museum and Library Services, and Administration for Community Living, as well as companies such as OpenAI, Google, and IBM. Huang received her PhD from the Donald Bren School of Information and Computer Sciences at the University of California, Irvine.

Updated on
Backto the news archive

Related News

Aubin Le Quéré to join the faculty

The iSchool is pleased to announce that Marianne Aubin Le Quéré will join the faculty as an assistant professor in August 2026, pending approval by the University of Illinois Board of Trustees. Aubin Le Quéré is a PhD candidate in the Department of Information Science at Cornell University. For the 2025-2026 academic year, she will be a postdoctoral fellow at Princeton University's Center for Information Technology Policy.

Marianne Aubin Le Quere

Midwest Big Data Innovation Hub wins Synergy Award

The Midwest Big Data Innovation Hub (MBDH) has won the Synergy Award from the Chicago Council on Science and Technology (C2ST). The MBDH is a partnership of the University of Illinois Urbana-Champaign, Indiana University, Iowa State University, the University of Michigan, the University of Minnesota, and the University of North Dakota. It is part of the National Science Foundation’s regional Big Data Innovation Hubs program that comprises offices in the Midwest, West, South, and the Northeast. 

Kelly Desino, scientific director of AbbVie's Community of Science, presenting the Synergy Award from the Chicago Council on Science and Technology (C2ST) to Professor Cathy Blake.

Han defends dissertation

Doctoral candidate Yingying Han successfully defended her dissertation, "Community Archives as Agency: Documenting Chinese American Experiences in the U.S.,” on May 28.

Yingying Han

New project improves accessibility of health information through AI

Assistant Professor Yue Guo has received a $30,000 Arnold O. Beckman Research Award from the U of I Campus Research Board for her project, "Optimizing Personalization in Plain Language Summaries: Comparing Predictive and Interactive Approaches for Tailored Health Information." 

Yue Guo