. Kalmady Vasu, PhD, MSc (Med. Biotech), MSc (Comp. Sci)
Contact
Senior Machine Learni Spec, Faculty of Medicine & Dentistry - Medicine Dept
- kalmady@ualberta.ca
- Phone
- (180) 070-7909
- Address
-
4-120 Katz Group Centre For Research
11315 - 87 Ave NWEdmonton ABT6G 2H5
Adjunct Professor, Faculty of Science - Computing Science
- kalmady@ualberta.ca
- Address
-
3-34 Athabasca Hall
9119 - 116 St NWEdmonton ABT6G 2E8
Overview
Area of Study / Keywords
AI in Medicine Machine Learning Computational Psychiatry Schizophrenia ECG based prediction models
About
Sunil Vasu Kalmady
My professional goal is to advance the options for personalized treatment of complex medical disorders via application of machine learning and data science. As AI/ML subject matter lead at Canadian VIGOUR Center, my team focuses on developing learning tools to predict prognostic outcomes in cardiovascular diseases using electronic medical records, electrocardiograms and echocardiograms at the population scale. Previously, I have developed successful AI methods to identify and predict specific symptom clusters and treatment responses in psychiatric disorders such as Schizophrenia and OCD using multimodal imaging, which have been published in distinguished journals such as Nature Schizophrenia and featured in several news reports.