Reliance Industries Term Assistant Professor Claudia Loebel will establish her lab at The University of Pennsylvania’s Department of Bioengineering and the Center for Precision Engineering for Health in January 2025.
Dr. Loebel received her MD from Martin Luther University Halle Wittenberg, Germany and her Ph.D from ETH Zurich, Switzerland.
“My laboratory is developing testable models to investigate how extracellular signals regulate cellular function to direct the development and regeneration of organs, ultimately leading to more effective therapeutic treatments,” said Dr. Loebel in her research statement. “Building upon my K99/R00 and American Lung Association Innovation Awards, a major focus of my group has been on understanding the role of mechanical forces across various states of pulmonary development and regeneration.”
Dr. Loebel’s team is formed with an exciting combination of interdisciplinary scholars including postdoctoral associates, graduate and undergraduate students whose philosophy encourages respect for people’s differences, acknowledging and honoring religious and cultural practices, and foster diverse thinking. Dr. Loebel is also a recent recipient of the 2025 Rising Star Award from BMES CMBE, and also won the CMBE Young Innovators award for her published article, “Magnetoactive, Kirigami- Inspired Hammoks to Probe Lung Epithelial Cell Function.”
The Loebel Lab is funded by the David and Lucile Packard Foundation Fellowship, whose mission is dedicated to further the advancement of people and communities with their three overreaching and interdependent goals: building societies, protecting and restoring the natural world, and investing in families.
Boning Tong Wins Distinguished Paper Award
Boning Tong, a student in the Department of Bioengineering, has been awarded the Distinguished Paper Award from the AMIA 2024 Annual Symposium. The Awards Committee recognizes five notable papers that best encapsulate the potential of tremendous breakthroughs in the medical community. Ms. Tong works in the laboratory of Dr. Li Shen, who acts as her doctoral advisor and is a professor of Informatics in Biostatistics and Epidemiology.
“Our research tackles challenges in early Alzheimer’s Disease detection by addressing diagnosis label imbalances and fairness issues simultaneously in machine learning models,” said Ms. Tong. “Unlike traditional models, our approach achieves better prediction performance while minimizing bias related to sensitive factors like race, sex, and age. This advancement holds promise for improving the reliability and fairness of early AD detection, ultimately aiding better patient outcomes and equitable care.”
In the future, Ms. Tong plans to take the research they have gained and use them to obtain greater amounts of data. “Our plan is to apply our proposed model to other datasets with larger sample size and more detailed attribute subgroup information to explore the bias issue in AD further,” said Ms. Tong.
Ms. Tong’s work was supported by NIH grants and the ADNI data sets were obtained from the Alzheimer’s Disease Neuroimaging Initiative Database.