معرفی
Susan Chalmers is a Senior Lecturer at the Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, within the Faculty of Science. She is also a Chancellors Research Fellow, with a strong focus on mitochondrial function in brain and vascular cells. Her work bridges neuroscience, pharmacology, and cellular physiology.
Education:
- BSc (Hons) in Biological Sciences, University of Aberdeen
- PhD, jointly awarded by the University of Dundee and the Buck Institute for Age Research, CA
- Fellow of the Higher Education Academy
Her research centers on mitochondria, particularly their role in calcium signaling, neurodegeneration, and disease mechanisms such as those in Alzheimer’s and diabetes. She employs advanced live-cell fluorescence imaging techniques to study mitochondrial motility and functionality in neurons, glia, and vascular cells. Her current projects examine the impact of amyloid-β and hyperglycaemia on mitochondrial dynamics.
The most recent publications reflect a dual focus: (1) mitochondrial regulation of calcium signaling in vascular and neuronal systems, and (2) patient-centered research in breast cancer through public engagement and storytelling. These works span physiology, pharmacology, and health sciences, demonstrating interdisciplinary impact.
Scientific Recognition and Service:
- University representative, The Physiological Society
- External Examiner for BSc, MSci, and MSc programs
- Active participant in ARUK and Scottish Neuroscience events
- Contributor to patient engagement initiatives in oncology
Susan supervises 2 PhD and 2 EngD students, and hosts multiple Masters-level research projects. She is the course coordinator for the MSc Neuroscience & Mental Health and module coordinator for the MPharm Management of Cardiovascular Conditions. She has secured significant research funding, including grants from ARUK and EPSRC, as both Principal and Co-investigator.
Her lab specializes in primary cell culture, live-cell imaging (Ca²⁺, ROS, organelle transport), and quantitative image analysis, contributing to both fundamental and translational research in neurovascular health.
