Computer Science (current, projected 2020)
Posts by Collection
Computer Science Specialist, Statistics Minor (GPA: 3.91/4), 2018
Development of a GUI for Quantitative Image Analysis of Cellular and Molecular Dynamics during Tissue Morphogenesis
In Undergraduate Engineering Research Day (UnERD), 2015
Angeline Yasodhara, Rodrigo Fernandez-Gonzalez.
In SickKids Summer Research Day, 2017
Angeline Yasodhara, Aziz Mezlini, Michael Cho, Craig Hersh, Anna Goldenberg.
Bisalbuminemia: Lack of Association with Monoclonal Gammopathy and Value-Justification for Reporting in Serum Protein Electrophoresis
In Journal of Clinical Chemistry and Laboratory Medicine, 2017
Pak Cheung Chan, Angeline Yasodhara, Dorothy Truong
In Machine Learning for Health (ML4H) Workshop at NeurIPS, 2018
Angeline Yasodhara, Mamatha Bhat, Anna Goldenberg.
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Teaching Assistant, Kumon, 2012
I helped guide young children to learn how to read and write as well as solve math problems.
Co-op Student, Clinical Pathology Laboratory, 2013
Under the supervision of Dr. P.C. Chan, I supported lab pathologists in their day to day tasks, and worked on data analysis for a project on Bisalbuminemia. The project was later published in Journal of Clinical Chemistry and Laboratory Medicine. I also put together a few e-learning modules for nurses.
Research Student, Neuroscience Lab, University of Toronto, 2014
I researched the impact of various drugs on neural growth in mice with stroke.
Research Student, Quantitative Morphogenesis Lab, University of Toronto, 2015
I was part of Quantitative Morphogenesis Lab, IBBME, UofT from Fall 2014 to Summer 2015. I analyzed mathematical models of Drosophila Melanogaster’s embryonic development with graduate students under the supervision of Dr. Rodrigo Fernandez-Gonzalez. Funded by NSERC Undergraduate Summer Research Award, I developed and designed a graphical user interface for SIESTA, an image analysis platform used for analysis of time-lapse microscopy data in biological developmental processes. Project poster was presented in Undergraduate Engineering Research Day (UnERD).
Back-end Software Developer, Master Data Management, 2016
I was part of the Engine scrum in Master Data Management from January 2016 to April 2017. My tasks consisted of the following:
- Implementing new features of product in Java, investigating defects and customer inquiries.
- Designing tests to verify functionality and scripts to automate testing process with Unix shell.
- Implementing OSGi framework, and investigating defects through WebSphere Application Server.
- Analyzing code features related to IBM WMQ and JMS messages.
Teaching Assistant, CSC165, 2018
In Fall 2018 and Winter 2019, I was a TA for CSC 165, an introduction class for Mathematical Expression and Reasoning for Computer Science. I was an in-class TA, where I helped students to understand the class material and work through their worksheets biweekly.
Research Student, Goldenberg Lab, 2019
I joined Dr. Anna Goldenberg’s lab in Summer 2017 and continued to stay for my senior undergraduate thesis and Master degree. In Summer 2017, I worked on finding association of genes with Chronic Obstructive Pulmonary Disease (COPD) with predicted gene expression from genomic data (eQTL). I further applied this method to find predisposition genes to cancers. My current work focuses on application of machine learning in clinical health data. I’m currently working on building a diabetes risk predictor for liver transplant recipients under the supervision of Dr. Goldenberg and Dr. Mamatha Bhat.