Toronto Rehab (University Health Network) / Research Trainee April 2017 – Present, TORONTO, ON
- A machine learning project that focuses on producing a meaningful multi-view learning in order to derive global features of speech impairment or variation.
- Furthermore, to automatically and optimally suggest tasks, in a sequence of tasks, in the context of cognitive assessment.
University of Toronto, Donnelly Centre for Cellular & Biomolecular Research (Chan Lab) / Bioinformatics Software Developer
January 2016 - June 2016, TORONTO, ON
• Developed a software called Cancer Nanomedicine Repository (CNR), based on the Perl, R and SQL programming languages.
• Wrote R scripts integrated with Perl for statistical analysis which was performed by the software based on user selection.
• Launched EC2 server for creating a prototype and installed the required stack for further developmental workflow.
• Ensured accurate data analysis by cross referencing Principal Investigator’s publication data.
• Final Result – CNR, a nanoparticle delivery efficiency repository, is the first of its kind. It allows researchers across the world to collaborate and share their published data using our database as a common
• Publication [Acknowledgement] - http://www.nature.com/articles/natrevmat s201614
• Link - http://inbs.med.utoronto.ca/cnr/
Toronto General Hospital (University Health Network) / Bioinformatics Software Developer January 2016 - June 2016, TORONTO, ON
• Managed the development of a web based request system for BioBank at Toronto General Hospital using PHP, HTML and MySQL.
• Consulted BioBank members to analyse and understand their needs as well as their clients’ needs.
• Engaged and conducted regular meetings with the software development team and BioBank members.
• Created a user-friendly web-based system that organizes sample processing requests.
• Final Result - Web interface which allows the BioBank employees and their clients to manage, place orders
and track progress online. This software has helped the BioBank department stay organized and up-to-date with orders placed by other researchers for obtaining cancer study specimens.