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Pengkun Liang

MSc Statistics, University of Calgary 2021

Project:

  • Breast density AI prediction

Pengkun graduated from Ucalgary as a master student majoring in Statistics this summer and is currently working on the breast density AI prediction project. He is proficient in R/SAS programming and data analysis. He is also a huge fan of video games.

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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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Ngan Phan

Bachelor of Science, UBCO

Projects:

  • Use of Natural Language Processing (NLP) for automated electronic medical record review

Grown up in Vietnam, Ngan travelled to Canada to pursue undergraduate degree. She is going to third year at UBC Okanagan, majoring in Computer Science. She joins the Early Detection Group as a research intern and works on an NLP project to automate the medical record review, hence improves the time and accuracy of the process. In her free time, she would love to make some sweet treats, join hackathons and travel around Kelowna.

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Quinn Wright

BSc. Molecular Biology and Biochemistry, UBCO 2017
BSc. Computer Science, UBCO 2021

Projects:

  • De-identification, curation, and migration of large volume DICOM imaging data to AWS

I was born in Kelowna and appreciate the what the Okanagan Valley has to offer! I’ve been interested in pursuing a career in the medical field for quite some time, but decided to take a few years off after my first degree and try my childhood dream of cooking for a living. That completely changed once I started programming, and now I’m very excited to be involved with the Early Detection Research Group in a technology focused role. I’m a bit of a generalist and tend to have a new hobby every few months, but some constants are food and wine, reading, and looking for great new music to enjoy.

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Mitch Wiebe

BSc Physics, UBCO 2020
MSc Medical Physics, UBCO 2022

Projects:

  • Tomohistology/ Lung RP
  • Deep Learning for Differential Diagnosis of Lung Cancer

Mitch is a recent graduate from UBCO with a BSc in Physics and will be moving into an MSc in Medical Physics this fall. He has contributed to projects that endeavour to predict high risk patients of radiation pneumonitis and detect lung cancer in its early stages. This summer his efforts will be focussed on using machine learning for the early detection of lung cancer. Outside of school and research, Mitch enjoys skateboarding, biking downtown, and snowboarding.

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Bianca Vizcaino

B.Sc. Biology, UBCO 2021

Projects:

  • Lung Cancer Wait Times

Bianca is a recent UBCO graduate where she obtained a BSc with an emphasis in Biology and Psychology. Having taken a wide variety of undergraduate courses while acquiring research experience across disciplines including electrical engineering, Bianca is motivated to continue participating in interdisciplinary and multidisciplinary research to further improve her critical thinking and problem-solving skills. As an aspiring medical doctor, she is excited to utilize her research skill set to improve the quality of healthcare. Further, she has joined the Early Detection Team to work alongside Dr. Humer on a retrospective chart review aimed at quantifying wait times for the Interior Thoracic Group’s surgical lung cancer patients to determine areas for improvement. During her leisure time, Bianca enjoys hiking, volunteering in the local community, and spending time with family.

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Anna Zhu

B.S. Statistics, SMU 2021
B.A. Biology, SMU 2021
B.A. Music, SMU 2021

Projects:

  • Breast Density and Image Quality Analysis
  • Segmentation of CT images with Deep Learning AI for Breast Cancer Radiation Therapy

Anna grew up in Houston, TX and is currently a senior studying at Southern Methodist University in Dallas. She joined the Early Detection Research Group in the summer of 2020 and is working on the two projects mentioned above. In her spare time, Anna enjoys cooking and making music.