Assistant Professor

Sabrina McNew

Assistant Professor, Ecology and Evolutionary Biology
Member of the Graduate Faculty
Primary Department
Department Affiliations
Contact
(520) 626-3950

Work Summary

Sabrina McNew is a disease ecologist and Assistant Professor of Ecology and Evolutionary Biology. She received her PhD from the University of Utah and was a postdoctoral fellow at Cornell University before joining the faculty at the University of Arizona in 2022. Her lab studies host-parasite interactions with a particular focus on invasive parasites and pathogens in the Galapagos Islands.

Research Interest

Sabrina McNew studies disease ecology of birds and their parasites and pathogens. She received her PhD from the University of Utah and completed a postdoctoral fellowship at Cornell University and the Cornell Lab of Ornithology. Dr. McNew's goal is to understand how host-parasite interactions affect species' ecology and evolution in a changing world. Her work centers on the following themes: 1) the behavioral ecology of host defense, 2) transcriptomic and epigenetic responses of birds to novel stressors, and 3) community ecology of hosts and parasites. She conducts research in unique biomes ranging from Sonoran Sky Islands to the Galapagos Islands. Her work integrates field experiments, comparative genomics, and creative analytical approaches. She is committed to broadening participation and perspectives in STEM and building a supportive and collaborative lab environment.

Marielle Aulikki Hegetschweiler

Assistant Professor, Chemistry and Biochemistry-Sci
Member of the Graduate Faculty
Primary Department
Department Affiliations

Work Summary

Most proteins need to attain a 3D structure to function properly. They are synthesized as unfolded chains and must fold into the right structure. Failure in this process can lead to protein misfolding diseases such as Alzheimer’s disease, Huntington's disease, Parkinson's disease, Creutzfeld-Jakob disease, or cystic Fibrosis. Chaperones play a crucial role in maintaining protein homeostasis, but the mechanism of how they work is not fully understood. In our group, we focus on Hsp60 and its obligate substrates, including Ab (the Alzheimer's peptide), malate dehydrogenase, and superoxide dismutase. Through the use of solution-state NMR, cryo-electron microscopy, and various other biochemical assays, we investigate the mechanism by which Hsp60 assists in protein folding and prevents the toxic aggregation of Ab.

Research Interest

The objective of our group is to elucidate the functioning of chaperones, with a specific focus on Hsp60. We are investigating the mechanism by which Hsp60 facilitates protein folding and prevents protein aggregation. This research is particularly significant in the context of Alzheimer's disease and specific types of cancer. To accomplish this, we employ various biochemical assays, with an emphasis on solution-state NMR and cryo-electron microscopy. Our research involves the examination of structures and the quantitative analysis of interactions.

Shanna Hamilton

Assistant Professor, Cellular and Molecular Medicine
Member of the Graduate Faculty
Primary Department
Department Affiliations

Work Summary

Abnormal intracellular calcium handling is implicated in many cardiovascular diseases and can lead to arrhythmias and sudden cardiac death. The overarching goal of the Hamilton laboratory is to decipher molecular mechanisms of calcium regulation in the healthy and diseased heart, with the end goal of uncovering novel therapeutic strategies to treat arrhythmias and heart disease.

Research Interest

Dr. Hamilton is an Assistant Professor and Principal Investigator in the Department of Cellular and Molecular Medicine (CMM), University of Arizona College of Medicine Tucson. Dr. Hamilton received her Ph.D. in Biophysics at Cardiff University and completed her postdoctoral training in Cardiovascular Physiology at Brown University, as well as The Ohio State University. In her laboratory, Dr. Hamilton's research focuses on calcium signaling in the heart, and how irregularities in calcium signaling contribute to both inherited and acquired cardiovascular diseases. By using a multi-level approach, from molecule-cell-organ-organism, Dr. Hamilton is uncovering new molecular mechanisms of calcium regulation and finding new therapeutic strategies to treat these diseases.

Eung Joo Lee

Assistant Professor, Electrical and Computer Engineering
Member of the Graduate Faculty
Department Affiliations
Contact
(520) 621-2434

Work Summary

I am an assistant professor in the Department of Electrical and Computer Engineering at the University of Arizona. Prior to working at the University of Arizona, I was a postdoctoral research fellow at MGH/Harvard Medical School. I completed my Ph.D. in the Department of Electrical and Computer Engineering at the University of Maryland, College Park. During my doctoral studies, I engaged in a research internship at the U.S. Army Research Laboratory.

Research Interest

Dr. Eung-Joo Lee has been appointed as an assistant professor in the Electrical and Computer Engineering department at the University of Arizona. Before this, he was a research fellow at Harvard Medical School and Massachusetts General Hospital, and he completed His educational background includes a Ph.D. from the University of Maryland, an M.S. from the Korea Advanced Institute of Science & Technology, and dual B.S. degrees from the University of Texas at Dallas and Inha University in South Korea.

During his doctoral studies, he worked under the guidance of Professor Shuvra S. Bhattacharyya, focusing on signal and image processing, medical image analysis, and machine learning applications. He also engaged in a research internship at the U.S. Army Research Laboratory. Dr. Lee's research primarily focuses on image analysis, aiming to make it robust and efficient, especially for the deployment of systems with limited resources. Specifically, his research includes two primary areas: improving model robustness by creating and enhancing datasets, and developing efficient deep neural network models for practical use. He aims to overcome challenges associated with limited annotations in deep learning and to create efficient models for applications in embedded computer vision and medical imaging.

Additionally, Dr. Lee has published a number of articles in international journals and conference proceedings, focusing on the fields of computer vision and medical imaging. He has also worked as a member of the program committee for the International Workshop on Multiscale Multimodal Medical Imaging (MMMI) in conjunction with the 25th MICCAI, served on a technical committee at MICCAI, and held guest editor roles in multiple journals. He is currently working as an editorial board member at the Journal of Signal Processing Systems.