Faculty Member
Divya Sharma PhD
- Email Address(es)
- div.sharma(at)utoronto.ca
- Division(s)/Institute(s)
- Biostatistics Division
- Position
- Assistant Professor
- SGS Status
- Associate Member
- Appointment Status
- Status Only
Research Interests
- Deep Learning
- Machine Learning
- Bioinformatics
- Computer Vision
- Pattern Recognition
- Image Processing
Other Affiliations
Senior biostatistician at the Department of Biostatistics, Princess Margaret Cancer Centre
Assistant-Professor (tenure-track), Department of Mathematics and Statistics, York University
Education & Training History
- Scientific Associate II at the Department of Gastroenterology, Toronto General Hospital
- Postdoctoral Fellow, Biostatistics Division, Princess Margaret Cancer Centre
- CIHR STAGE Fellowship, University of Toronto
- Postdoctoral Fellow, Biostatistics Division, Dalla Lana School of Public Health
- Ph.D. in Computer Science, Indian Institute of Technology Jodhpur
- M.Tech in Information and Communication Technologies, Indian Institute of Technology Jodhpur
Full list of Publications
(https://scholar.google.ca/citations?hl=en&user=vc73OAkAAAAJ)
Webpage
http://individual.utoronto.ca/DivyaSharma/
I serve as an Assistant Professor at Dalla Lana School of Public Health, University of Toronto , where I mainly teach about application of Machine Learning techniques to health data and clinical studies. I am also working as a senior biostatistician at the Princess Margaret Cancer Centre where I lead Machine learning projects at the Biostatistics Department. My work focuses on developing machine learning models using genomic, microbiome, image and clinical data in the area of cancer research. Our group also provides ML based consultancy to research groups within University Health Network. Prior to this role, I worked as a Scientific Associate at the Toronto General Hospital, UHN in the field of application of Machine Learning to Gastroenterology and genomic studies. I have also completed 2.5 years of postdoctoral research training at the Princess Margaret Cancer Centre, University Health Network and the University of Toronto.
As a part of my postdoctoral research, I have worked towards developing novel neural network models in the area of disease prediction using microbiome data and using Machine Learning tools in liver disease detection and analysis. I have been awarded the CIHR STAGE (Strategic Training for Advanced Genetic Epidemiology) fellowship (2020-2022). I aim to extend my research to medical image analysis along with genomic data analysis to aid interdisciplinary research in the areas of Computer Science and Health Research.
Prior to my postdoctoral experience, I completed my PhD from the Department of Computer Science & Engineering at IIT Jodhpur.