Research Coordinator I
The coolest things I've done in my career are:
Validated machine learning models for detecting sleep apnea using overnight clinical infrared video recordings.
3 first author journal and conference publications; contributed to 8 other publications.
If I could have a super power it would be:
To shrink or grow at will. I’d always be able to reach the top shelf and still be comfortable on a plane. Imagine only having a slice of pizza left, but shrink down and it’ll be the equivalent of a whole pizza!
I'm a "closet" fan of:
The nerdiest thing I do in my spare time is:
Make spreadsheets for fun!
Three things still on my bucket list are:
Go camping under the northern lights
Try scuba diving
Make a croquembouche and eat it
My past experience includes:
I received my BASc in Engineering Science in 2014, majoring in Biomedical Engineering, and received my MEng in Industrial Engineering in 2016, both from University of Toronto. During my undergraduate studies and internship year, I explored various biomedical fields: studying radiosensitizig effects of gold nanoparticles, prototyping tools for tracheal intubation, and completing thesis on positional sleep apnea. For my Masters, I focused on quality improvement and process optimization in healthcare settings.
Before joining the Data Science and Advanced Analytics team, I worked with IATSL and SleepDB teams at Toronto Rehab as a research analyst. My research focused on vision-based monitoring of sleep with the ultimate goal of developing an inexpensive, noncontact, and unobtrusive tool for detection of sleep apnea.