Personal information
Biography
Dr. Nader Fallah is a senior biostatistician at the Praxis Spinal Cord Institute and adjunct professor in the department of medicine at the University of British Columbia. Dr. Fallah is a researcher in neuroscience with background and expertise in biostatics and machine learning. Artificial intelligence and machine learning methodology are his predominant areas of interest. For his MSc and PhD theses, he used machine learning methodology to find nonlinear patterns in data. The thesis work demonstrated that emphasizing the non-linearity of variables may provide new insight into the possible explanation of disease risk factors.
Dr. Fallah has been engaged in medical and health services research in collaboration with physicians and medical scientists since 2000. These studies have resulted in more than 75 publications in refereed methodological and medical journals. Most recently (2019), he was awarded the best poster and presentation at Canadian National SCI meeting for providing a novel tool using machine learning for predicting mortality after traumatic spinal cord injury.
The main focus of Dr. Fallah's current research is the development of interactive and interpretable artificial intelligence algorithms that are potentially applicable to several neurological health conditions and specifically focused on individuals with spinal cord injury.