Salma DammakPhD Candidate
Biography: Salma Dammak, E.I.T, is a PhD candidate in the Department of Biomedical Engineering and is supervised by Dr. Aaron Ward and Dr. David Palma. Her work involves researching machine-learning based solutions to clinical problems in the diagnosis and treatment of lung cancer. Her main project involves developing an algorithm which allows for early prediction of lung cancer recurrence following stereotactic ablative radiotherapy (SABR) based on follow-up CT scans.
Olivia SehlMSc Candidate
Biography: Olivia Sehl is a MSc candidate in the Department of Medical Biophysics and is supervised by Dr. Paula Foster at Robarts Research Institute. Her research projects focus on imaging inflammation and cell tracking using fluorine-19 MRI and magnetic particle imaging (MPI). In combination, these imaging technologies can provide additional information regarding the fate of cells in vivo and enable us to monitor two cell populations over time.
Laura MawdsleyMSc Candidate
Biography: Laura is a MSc candidate in the Department of Medical Biophysics supervised by Dr. Chris Ellis and Dr. Mamadou Diop. She is using near infrared spectroscopy, diffuse correlation spectroscopy, and intravital video microscopy to monitor the musculoskeletal and cerebral microcirculation. She is comparing hemodynamics parameters collected in skeletal muscle between the mentioned methods. She is also using near infrared spectroscopy and diffuse correlation spectroscopy to monitor the change in hemodynamics in the brain following a microvascular challenge.