{"id":32216,"date":"2023-09-21T14:45:48","date_gmt":"2023-09-21T18:45:48","guid":{"rendered":"https:\/\/its-cuthemedev1.carleton.ca\/engineering-design\/?post_type=cu_story&#038;p=32216"},"modified":"2025-03-24T15:29:05","modified_gmt":"2025-03-24T19:29:05","slug":"decoding-complexity-a-data-scientists-journey-in-medical-algorithm-development","status":"publish","type":"cu_story","link":"https:\/\/carleton.ca\/engineering-design\/story\/decoding-complexity-a-data-scientists-journey-in-medical-algorithm-development\/","title":{"rendered":"Decoding Complexity in Medical Algorithms"},"content":{"rendered":"\n                    \n<section class=\"w-screen px-6 cu-section cu-section--white ml-offset-center md:px-8 lg:px-14\">\n    <div class=\"space-y-6 cu-max-w-child-max  md:space-y-10 cu-prose-first-last\">\n\n        \n                    \n                    \n            \n    <div class=\"cu-wideimage relative flex items-center justify-center mx-auto px-8 overflow-hidden md:px-16 rounded-xl not-prose  my-6 md:my-12 first:mt-0 bg-opacity-50 bg-cover bg-cu-black-50 py-24 md:py-28 lg:py-36 xl:py-48\" style=\"background-image: url(https:\/\/carleton.ca\/engineering-design\/wp-content\/uploads\/sites\/63\/Healthcare-Data.png); background-position: 50% 50%;\">\n\n                    <div class=\"absolute top-0 w-full h-screen\" style=\"background-color:rgba(0,0,0,0.600);\"><\/div>\n        \n        <div class=\"relative z-[2] max-w-4xl w-full flex flex-col items-center gap-2 cu-wideimage-image cu-zero-first-last\">\n            <header class=\"mx-auto mb-6 text-center text-white cu-pageheader cu-component-updated cu-pageheader--center md:mb-12\">\n\n                                    <h1 class=\"cu-prose-first-last font-semibold mb-2 text-3xl md:text-4xl lg:text-5xl lg:leading-[3.5rem] cu-pageheader--center text-center mx-auto after:left-px\">\n                        Decoding Complexity in Medical Algorithms\n                    <\/h1>\n                \n                            <\/header>\n        <\/div>\n\n            <\/div>\n\n    \n\n    <\/div>\n<\/section>\n\n                        \n                        <p><em class=\"myprefix-text-italic\">Ty Burke<\/em><\/p>\n                        \n<p>In celebration of Carleton University\u2019s 2023 Throwback week\u2013a homecoming for alumni and community members\u2013we 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.<\/p>\n\n\n\n<h2 id=\"decoding-complexity\" class=\"wp-block-heading\">Decoding Complexity<\/h2>\n\n\n\n<p>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\u2019s 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.<\/p>\n\n\n\n<p>\u201cThere are a lot of considerations when you\u2019re developing algorithms. Biological data can be really noisy, and often differs from what you might see in a textbook,\u201d says Kurian.<\/p>\n\n\n\n<figure class=\"wp-block-image alignleft wp-image-32243 size-medium\"><img loading=\"lazy\" decoding=\"async\" width=\"400\" height=\"599\" src=\"https:\/\/carleton.ca\/engineering-design\/wp-content\/uploads\/sites\/63\/JinuKurian_Braebon-400x599.jpg\" alt=\"\" class=\"wp-image-32243\" srcset=\"https:\/\/carleton.ca\/engineering-design\/wp-content\/uploads\/sites\/63\/JinuKurian_Braebon-400x599.jpg 400w, https:\/\/carleton.ca\/engineering-design\/wp-content\/uploads\/sites\/63\/JinuKurian_Braebon-300x449.jpg 300w, https:\/\/carleton.ca\/engineering-design\/wp-content\/uploads\/sites\/63\/JinuKurian_Braebon-768x1150.jpg 768w, https:\/\/carleton.ca\/engineering-design\/wp-content\/uploads\/sites\/63\/JinuKurian_Braebon-1400x2096.jpg 1400w, https:\/\/carleton.ca\/engineering-design\/wp-content\/uploads\/sites\/63\/JinuKurian_Braebon-1026x1536.jpg 1026w, https:\/\/carleton.ca\/engineering-design\/wp-content\/uploads\/sites\/63\/JinuKurian_Braebon-1368x2048.jpg 1368w, https:\/\/carleton.ca\/engineering-design\/wp-content\/uploads\/sites\/63\/JinuKurian_Braebon-700x1048.jpg 700w, https:\/\/carleton.ca\/engineering-design\/wp-content\/uploads\/sites\/63\/JinuKurian_Braebon-200x299.jpg 200w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/><figcaption class=\"wp-element-caption\">Jinu Kurian, algorithm developer, Braebon Medical Corporation, biomedical engineering alumna.<\/figcaption><\/figure>\n\n\n\n<p>\u201cHumans 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.\u201d<\/p>\n\n\n\n<p>And because all individuals are different, an advance for one population does not necessarily translate for the population as a whole.<\/p>\n\n\n\n<p>\u201cIt is just as difficult to account for differences in a single individual\u2019s 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.\u201d<\/p>\n\n\n\n<p>Kurian completed a Master of Applied Science in biomedical engineering, and credits her Carleton education with preparing her to solve this type of messy problem.<\/p>\n\n\n\n<p>\u201cYou 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&#8217;t just randomly applying math,\u201d she says.<\/p>\n\n\n\n<p>\u201cEven 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.\u201d<\/p>\n\n\n\n<p><em>Want to participate in Carleton\u2019s 2023 Throwback events? Visit the <a href=\"https:\/\/alumni.carleton.ca\/throwback\/\">alumni website to learn more.<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ty Burke In celebration of Carleton University\u2019s 2023 Throwback week\u2013a homecoming for alumni and community members\u2013we 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. 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