Dr. Talhouk is an assistant professor in the department of Obstetrics & Gynecology in the Faculty of Medicine at the University of British Columbia. She is also a principal investigator at OVCARE, where she directs a data science and informatics laboratory. She completed her PhD in Statistics at UBC in 2013 with a focus on computational statistics and machine learning. During this time, she was the recipient of the prestigious NSERC Alexander Graham Bell Canada Graduate Scholarship.
Dr. Talhouk’s current research program proposes to bring individualized care to endometrial cancer patients by using genetic characteristics of the cancer, as well as other data and risk factors, to predict which women are at higher risk of getting endometrial cancer, or having recurrent disease, and directing them to the appropriate prevention strategy and therapeutic options. Dr. Talhouk is also researching the ethical use of innovative tools in digital health and informatics, including mobile health data and data from wearables. She is collaborating with researchers from computer science to build infrastructure that uses privacy preserving artificial intelligence and machine learning to derive predictive analytics that empower patients, without compromising their privacy.
She is a member of the Ovarian Tumour Tissue Analysis consortium and the Cascadia Data Discovery Initiative.
Dr. Talhouk presently holds a Michael Smith Foundation for Health Research Scholar award, as well as the UBC Faculty of Medicine New Faculty Research Award.
For an up-to-date list of publications by Dr. Talhouk, please see ResearchGate.