Sprenger
A roundup of chemical and biological engineering students who won prestigious awards and honors this semester.
Five chemical and biological engineering聽graduate students and one ChBE undergraduate student have received 2024聽National Science Foundation Graduate Research Fellowships, a prestigious award that recognizes and supports outstanding students in a wide variety of science-related disciplines.
Assistant Professors Kayla Sprenger and Laurel Hind are on a collaborative mission to explore solutions for mitigating cognitive decline in individuals living with HIV. This decline can be caused by both the virus itself and the antiretroviral drugs used to treat it.
Assistant Professor Kayla Sprenger has been honored with the 2023 Outstanding Partner Award from CU 麻豆影院's Research & Innovation Office (RIO). The RIO Outstanding Partner Award is an annual honor聽presented to a campus employee who
Assistant Professors Kayla Sprenger and Ankur Gupta were selected for the prestigious AICHE 鈥35 Under 35鈥 award.- The dean鈥檚 office of CU 麻豆影院's聽College of Engineering and Applied Science has chosen聽PhD student聽Emily Rhodes聽as the recipient of The Teets Family Endowment in Nano-Technology Graduate Fellowship for the 2022-2023 academic
- Two professors from the Department of Chemical and Biological Engineering were recently honored with聽AB Nexus聽Awards, which aim聽to聽foster聽interdisciplinary research collaborations between CU Anschutz and CU 麻豆影院. Under
The proliferation of plastic products has created an environmental challenge: what should be done with unusable, discarded plastic waste that can harm the environment? Faculty from the Department of Chemical and Biological Engineering are working on a National Science Foundation (NSF)-funded project, Hydrogenolysis for Upcycling of Polyesters and Mixed Plastics, to address this serious environmental issue.
No universal vaccines exist for infectious diseases like HIV and influenza, largely due to the high frequency with which the pathogens that cause these diseases acquire mutations in their surface proteins. Hear from Assistant Professor Kayla Sprenger as she describes our efforts to address this challenge for HIV using a variety of computational methods that include homology modeling, molecular simulations, mathematical modeling, and machine learning.
