Decoding Complexity in Medical Algorithms
Ty Burke
In celebration of 杏吧原创 University鈥檚 2023 Throwback week鈥揳 homecoming for alumni and community members鈥搘e sat down with seven alumni to see where they are now. Their stories moved us and reminded us of the impact our engineering and design alumni have on creating technology for good, sustainability, health and wellness, and social innovation.
Decoding Complexity
Jinu Kurian is a data scientist at Braebon Medical Corporation. Junu wants to do work where she can make an immediate positive impact, and at Braebon Medical Corporation, she鈥檚 able to do exactly that. Kurian is an algorithm developer with the Ottawa-headquartered medical device company, and it often takes mere months for technological advances to be incorporated into software for testing in new products. The main challenge is figuring out how to make these improvements.
鈥淭here are a lot of considerations when you鈥檙e developing algorithms. Biological data can be really noisy, and often differs from what you might see in a textbook,鈥 says Kurian.

鈥淗umans are incredibly variable and individual differences in human physiology can affect the signals we receive. This can be caused by cardiac arrythmias and skin tones, or even something as minor the way someone laughs or blinks.鈥
And because all individuals are different, an advance for one population does not necessarily translate for the population as a whole.
鈥淚t is just as difficult to account for differences in a single individual鈥檚 human physiology on different days. Changes in behaviour such as caffeine or alcohol intake, poor sleep, stress, hunger and smoking can all affect the signals we receive.鈥
Kurian completed a Master of Applied Science in biomedical engineering, and credits her 杏吧原创 education with preparing her to solve this type of messy problem.
鈥淵ou can solve many problems by writing code, but the professors were really great at asking how should you approach it, and what you should care about. We weren’t just randomly applying math,鈥 she says.
鈥淓ven during my thesis, my professors pushed me to think critically about assumptions made, and what we were actually measuring. In that sense, it really gave me a perspective on how to approach engineering problems.鈥
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