Divya Sharma
Tagline:Assistant Professor, York University| Senior Biostatistician, Princess Margaret Cancer Centre
Education
Doctor of Philosophy (Ph.D.)
from: 2015, until: 2019Field of study:Computer ScienceSchool:Indian Institute of Technology Jodhpur
Master's Degree
from: 2013, until: 2015Field of study:Master of Technology in Information and Communication TechnologiesSchool:Indian Institute of Technology Jodhpur
Bachelor's Degree
from: 2008, until: 2012Field of study:Bachelor of Engineering in Computer ScienceSchool:Birla Institute of Technology, Mesra
- from: 2025, until: present
School:Maharani Gayatri Devi Girls' School (M.G.D.)
Publications
phylaGAN: Data augmentation through conditional GANs and autoencoders for improving disease prediction accuracy using microbiome data
DocumentPublisher:BioinformaticsDate:2024Authors:A deep learning framework for personalised dynamic diagnosis of graft fibrosis after liver transplantation: a retrospective, single Canadian centre, longitudinal study
DocumentPublisher:Lancet Digital HealthDate:2023Authors:ReGeNNe: Genetic pathway-based deep neural network using canonical correlation regularizer for disease prediction
DocumentPublisher:BioinformaticsDate:2023Authors:Distinctive Clinical and Genetic Features of Lean vs Overweight Fatty Liver Disease using the UK Biobank
DocumentPublisher:Hepatology InternationalDate:2022Authors:Identifying clinical subtypes in sepsis-survivors with different one-year outcomes: a secondary latent class analysis of the FROG-ICU cohort
DocumentPublisher:Critical CareDate:2022Authors:Application of Machine Learning in Liver Transplantation: A Review
DocumentPublisher:Hepatology InternationalDate:2022Authors:Machine Learning Approach to Classify Cardiovascular Disease in Patients with NAFLD in the UK Biobank Cohort
DocumentPublisher:Journal of American Heart Association (JAHA)Date:2021Authors:phyLoSTM: A novel deep learning model on disease prediction from longitudinal microbiome data
DocumentPublisher:BioinformaticsDate:2021Authors:Combining human and artificial intelligence: Ensemble of convolutional neural networks for disease prediction from microbiome data
DocumentPublisher:IGES 2020, Seoul, South Korea, WileyDate:2020Authors:TaxoNN: Ensemble of Neural Networks on Stratified Microbiome Data for Disease Prediction
DocumentPublisher:BioinformaticsDate:2020Authors:
Work Experiences
Assistant Professor (tenure-track)
from: 2024, until: presentOrganization:York UniversityLocation:Toronto, Ontario, Canada
Description:Assistant Professor in the Data Science Stream at the Department of Mathematics and Statistics, Faculty of Science, York University
Clinician Investigator
from: 2023, until: presentOrganization:University Health NetworkLocation:Toronto, Ontario, Canada
Description:Leading research for application of Machine Learning to clinical data at the Princess Margaret Cancer Centre, UHN
Senior Biostatistician
from: 2022, until: presentOrganization:University Health NetworkLocation:Toronto, Ontario, Canada
Description:Leading Machine learning projects at the Biostatistics Department, Princess Margaret Cancer Centre, UHN. Working on developing machine learning models using genomic, microbiome, image and clinical data in the area of cancer research. Provide ML based consultancy to research groups within University Health Network.
Scientific Associate II
from: 2021, until: 2022Organization:University Health NetworkLocation:Toronto
Description:Associate Scientist at the Toronto General Hospital Research Institute, University Health Network. Working as a bioinformatics lead on projects on application of machine learning to clinical studies in the area of gastroenterology and microbiome research.
Postdoctoral Research Associate
from: 2020, until: 2021Organization:University Health NetworkLocation:Toronto, Ontario, Canada
Description:Biostatistics Division, Princess Margaret Cancer Centre, Toronto
Assistant Professor (status-only)
from: 2023, until: presentOrganization:University of TorontoLocation:Toronto, Ontario, Canada
Description:Teaching applications of Machine Learning to health/clinical research at Dalla Lana School of Public Health, University of Toronto
Weblink: https://www.dlsph.utoronto.ca/faculty-profile/sharma-divya/
Adjunct Lecturer
from: 2021, until: 2023Organization:University of TorontoLocation:Toronto
Description:Teaching Machine Learning applications in Health research at the Dalla Lana School of Public Health, University of Toronto.
Weblink: https://www.dlsph.utoronto.ca/faculty-profile/sharma-divya/
Postdoctoral Research Associate
from: 2019, until: 2020Organization:Dalla Lana School of Public Health, University of TorontoLocation:Toronto
Research Scholar
from: 2014, until: 2014Organization:École pour l'Informatique et les Techniques AvancéesLocation:Paris Area, France
Honors & Awards
Resources for Research Groups 2024 competition grant
date: 2024-05-01CANSSI Ontario STAGE training fellowship
date: 2020-09-01Description:Selected as a trainee for CANSSI Ontario STAGE fellowship, which is a formal and comprehensive training program in Statistical Genetics for the period September 2020-August 2022.
James V. Neel Award Finalist, IGES 2020, Seoul, Korea
date: 2020-08-01Description:Amongst 3 of the finalists for outstanding oral presentation by a post-doctoral fellow at International Genetic Epidemiology Society Conference, for research work titled "Combining human and artificial intelligence: Ensemble of convolutional neural networks for disease prediction from microbiome data"
CVPR Women in Computer Vision Travel Award
date: 2025-04-08Description:CVPR Travel grant to present my research paper titled ‘Retrieval of Architectural Floor plans based on Layout Semantics’ at CVPR, 2016, Las Vegas, USA