Dr. Shu Yang Honored with Prestigious Emerging Leader in Statistics Award

Shu Yang, an associate professor in the Department of Statistics, has been recognized with the 2024 Emerging Leader in Statistics award by the Committee of Presidents of Statistical Societies (COPSS). This prestigious award celebrates early career statistical scientists who have earned their terminal degrees within the past decade and demonstrate promising leadership potential in the field. It acknowledges individuals who have made substantial contributions and show a strong commitment to advancing the discipline of statistics.

Yang was selected for this honor due to her significant contributions to the development of trial design and analysis using real-world data, as well as her innovative work in causal inference methods for complex clinical trials and observational studies. Her efforts in these areas have had a profound impact on the field, showcasing her expertise and dedication.

In addition to her research achievements, Yang has been recognized for her outstanding advising and mentoring abilities. Her commitment to guiding the next generation of statisticians and fostering their professional growth has been exemplary. Moreover, Yang has played a crucial role in bridging the gap between academia and the pharmaceutical and regulatory sectors, facilitating collaboration and knowledge exchange that benefits both fields.

Upon receiving the award, Yang expressed her gratitude and shared her vision for continued collaboration. “Receiving this award is a well-deserved validation of our exceptional cross-sector efforts,” she stated. “I am determined to continue leading the way in facilitating close collaboration among academia, pharmaceutical, and regulatory sectors. I thank all my outstanding collaborators and students, whose contributions are the driving force behind this award. I am also grateful for the unwavering support I have received from people around me.”

Yang’s recognition as an Emerging Leader in Statistics highlights her exceptional contributions to the field and her potential for future leadership. Her work not only advances statistical science but also underscores the importance of interdisciplinary collaboration in addressing complex challenges in clinical and observational research. The Department of Statistics proudly acknowledges Dr. Yang’s outstanding accomplishments and prestigious recognition.