Elena Osipyan
Elena Osipyan
Learner - She / Her
(1)
10
Location
Toronto, Ontario, Canada
Bio

Hello! My name is Elena Osipyan. I’m a third-year student at University of Toronto, studying physics and biostatistics. I believe machine learning and data analysis can solve real-world health problems, whether it's training deep learning models to detect cancer risk or building MATLAB toolkits to simulate MRI bran scans. I’m currently doing research in neural MRS at the Near Lab of Sunnybrook Hospital, in biosensing for DNA damage detection at the UofT Bioelectrochemistry Lab, alongside being involved in AI ethics and R&D at Racialized Students in Healthcare⚙️🧠.

Portals
Categories
Data modelling Healthcare Biotechnology Public health Scientific research

Skills

Advocacy 2 Artificial intelligence 2 Chronic diseases 2 Health advocacy 2 Health education 2 Communication 1 Communication strategies 1 Decision making 1 Diverse learners 1 Effective communication 1 Innovation 1 Learning strategies 1 Research 1 Research reports 1 Tensorflow 1

Socials

Achievements

Latest feedback

Recent projects

Racialized Students In Healthcare
Racialized Students In Healthcare
Toronto, Ontario, Canada

AI-Generated Health Chronic Illness Skin Images Project

The main goal for the project is to train and leverage AI to generate appropriate images of health chronic illness on the skin for the purpose of health education and health advocacy, particularly for Black and racialized populations. The project aims to use AI technology to create visual representations of skin conditions that are commonly experienced by these communities, in order to provide better health education and advocacy.

Matches 2
Category Data analysis + 1
Closed
Racialized Students In Healthcare
Racialized Students In Healthcare
Toronto, Ontario, Canada

Education Learning Research Analyst

The project aims to explore and identify effective learning and communication strategies tailored for diverse and non-traditional learners within the sports sector. The goal is to gather insights from various fields such as education, sports, and neurolearning to enhance literacy programs and improve the acquisition and application of knowledge. This research will specifically contribute to the development of the Sankofa Bridge program by providing evidence-based strategies that can be implemented to support diverse learners. The project will involve a comprehensive review of existing literature, case studies, and best practices from related industries. By focusing on the intersection of sports and education, the project seeks to bridge gaps in learning methodologies and foster inclusive educational environments.

Matches 1
Category Education + 4
Open

Education

HBSc, Physical Sciences (Mathematics Track), Statistics, Cell Biology
University of Toronto
September 2023 - May 2027

Personal projects

HEARTMAP
May 2025 - May 2025
https://osipyaan.github.io/heartmap/

Proposal for an iPSC-derived cardiac patch for the 2025 Invenire project competition.