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Mikyung Park

BSc. Computer Science, UBC 2024

Mikyung is a 3rd year computer science student at UBC. She joined the Early Detection Research Group through the WorkLearn program and is excited to apply the knowledge she learns to the medical field. Outside of school, Mikyung loves swimming, drawing, and baking.

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Suki Cai

BSc Computer Science & Statistics, UBC 2024

Project:

  • Image Data Curation

Suki (Yufei) is a 4th-year student majoring in Computer Science combined Statistics. She has a great passion for making contributions to society and aspiring to benefit people from her work and research, continuously finding a way to build a better world for the disabled. She joined the Early Detection Research Group through the UBC work-learn program under the supervised of Dr. Rasika Rajapakshe. A fun fact about her is that she has long hair which is more than 1-meter long.

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Emily Mayzes

BSc Psychology (major) & Computer Science (minor), UBCO 2023

Projects:

  • Exception handling in Deep Learning application in breast cancer detection using mammography

I am going to be going into the last year of my undergraduate degree this upcoming year and will be graduating in April with my Bachelors in Science with a major in Psychology and minor in Computer Science. I have always been interested in working in the medical field, and after I graduate I hope to continue on to medical school. Currently, I am working on the project entitled ‘Exception handling in Deep Learning application in breast cancer detection using mammography’. In my spare time, I enjoy gardening, baking, and exploring the beautiful Okanagan on hikes and bike rides.

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Wenna Lin

BSc. Statistics, UBC 2022

Projects:

  • Validation of AI algorithms for Cancer Detection

I’m a statistics major student who graduated from UBC this year. I joined the Early Detection Research Group this summer through the work-learn program. I always want to apply what I learned in school to industry fields. I always keep curiosity about learning new things in data science and the machine learning field. 

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Nitchakan Tara Obma

BSc. Microbiology, UBCO 2022

Projects:

  • NLP for automated extraction of canncer diagnosis from pathology reports

Nitchakan was born in Khon Kaen, Thailand. She came to Canada for secondary school and university. She joined the Early Detection Research Group in the summer of 2022 to work on the data analysis pipeline. She has always been interested in working and doing research in the medical-related field but never would have thought about working on the technological side of it. Nitchakan is excited to join the Early Detection Research Group. She is eager to learn about the construction of a data pipeline and contribute to something that could benefit others. Unfortunately, Nitchakan is not much of a winter person  and most of her hobbies revolve around the summer which includes anything from scuba diving, snorkeling, hiking, trekking to mountain biking.

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Johnson Chen

BSc. Computer Science & Statistics, UBC

Projects:

  • Image Data Curation

Johnson (Tingyu) is a 3rd-year UBC student studying Statistics and Computer Science. In May 2022, Johnson proudly joined the Image Curation group as a summer research student, and is assisting Dr. Rasika Rajapakshe and the team. Johnson is looking forward to facing the challenges ahead, one line of code at a time. Like many sweet-toothed people, Johnson spends his spare time in dessert places, gym, and then repeats.

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Isha Shah

BSc. Information Technology, University of Mumbai 2021. MSc. Computer Science, UBC,2023.

Projects:

  • Evaluating Cardiac Risk in Breast Cancer Patients using Artificial Intelligence

Isha comes from Mumbai, India. She received her bachelor degree in Information Technology at University of Mumbai, 2021. She is an incoming student this summer UBCO in MSc. Computer Science. Having a keen interest in women’s health and Artificial Intelligence, she is excited to work at BC Cancer. Outside of school, she enjoys baking, creative arts, reading and spending time by the beach.

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Liying Yang

BSc Computer Science, UBCO 2022

Projects:

  • Traceable medical image de-identification pipeline for AI applications
  • Validating Artificial Intelligence Algorithms for Breast Cancer Detection
  • NLP for automated extraction of cancer diagnosis from pathology reports

Liying was born in China, Guangzhou, she came to Canada for high school and university as an international student. Liying joined the Early Detection Research Group in the spring of 2022 after she graduated as a computer science student. Her past research experience has been in children’s robotics; however, she had a strong interest in the medical field. She hopes she can take the advantage of technology and use them in the medical field.

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Zhenghua Chen

BSc. Computer Science, McGill University 2021
MSc. Computer Science, UBCO 2023

Project:

  • Develop and assess innovative Natural Language Processing methods to extract clinical information from BC Cancer Electronic Medical Record system

I come from China and have studied Computer Science since my first year in Canada. Machine Learning is one of the cool topics that I’m interested in and I find it has great potential use in medical/health-caring area. I’m so excited and proud to join this group and work with all the talents to contribute my effort and explore the endless possibilities!

I enjoy tasting delicious food from different places, playing tennis and singing. I’m a cat-person and I love creative and unique ideas 😀

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Mitch Wiebe

M.Sc. Medical Physics, UBCO 2022
B.Sc. Physics (hons.), UBCO 2020

Projects:

  • Deep Learning Applications for Differential Diagnosis of Lung Cancer
  • Tomohistology
  • Lung Radiation Pneumonitis

Mitch is a Ph.D. student at UBC Okanagan with an M.Sc. in Medical Physics and B.Sc in Physics. He has contributed to projects that automatically classify biopsied lung samples with deep learning algorithms (specifically, convolutional neural networks) as well as projects that endeavour to predict patients at high-risk of developing radiation pneumonitis via radiomics. His Ph.D. research is focussed on developing ultra-high-resolution computed tomography (UHRCT) imaging techniques to improve the lung cancer screening workflow. Outside of academia, Mitch enjoys skateboarding, snowboarding, biking, and disc golf.