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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

About me

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

education

research

talks

work

Kumon

Teaching Assistant, Kumon, 2012

I helped guide young children to learn how to read and write as well as solve math problems.

Sunnybrook Health Sciences Centre

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.

Physiology Department

Research Student, Neuroscience Lab, University of Toronto, 2014

I researched the impact of various drugs on neural growth in mice with stroke.

Biomaterials and Biomedical Engineering Institute (IBBME)

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).

IBM

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.

Computer Science Department

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.

SickKids Research Institute / Vector Institute

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.