Faculty

What does chemistry have to do with cancer surgery? What can the humanities teach us about the future of health care? And how does going to college shape your happiness decades later? At CU Denver's College of Liberal Arts and Sciences, these aren't separate questions — they're part of the same conversation.

Retired CU Denver chemist Larry Anderson continues global, student-connected research, most recently publishing Fulbright-based work on air quality near geothermal plants.

Soumia Bardhan, associate professor of Communication and director of International Studies at CU Denver, received the 2026 Anita Taylor Outstanding Article Award from the OSCLG.

The University of Colorado Denver mourns the passing of Dr. Rachel Elizabeth Harding. Rachel was Associate Professor (Emeritus) in the Department of Ethnic Studies in the College of Liberal Arts & Sciences (CLAS). She passed away on May 25, 2026 in Salvador, Bahia, Brazil, surrounded by her family and her beloved Candomblé community, Terreiro do Cobre.

CU Denver helped launch a national meeting on nature and cognition and is advancing new research through a 2026 Psychonomic Society symposium.

Congratulations to Dr. Florian Pfender, on receiving the National Science Foundation award, "Flag Algebra and Semidefinite Programming" (Award #2554130), with total funding of $150,000. This is a collaborative award with Dr. Bernard Lidický, from Iowa State University, (Award #2554129, $150,000).

CU Denver research links extreme heat in El Salvador to reduced farm jobs and increased migration, especially where US migrant networks support households.

This research has the potential to make a meaningful impact on society by helping public agencies make investment decisions that are not only efficient but also equitable and broadly supported by the communities they serve.

CLAS celebrates Farhad Pourkamali-Anaraki’s SDM 2026 paper acceptance on conformal prediction for trustworthy aerial image classification in data-scarce settings.

CU Denver celebrates a CLAS research paper accepted to SIAM SDM 2026, advancing more reliable predictive uncertainty for real-world machine learning.