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Biography
Mentor: Peter LaViolette, PhD
Year Entered MCW: 2020
Previous Education: BS, Biomedical Engineering with a minor in User Experience (UX), Milwaukee School of Engineering, 2020
Year Entered MCW: 2020
Previous Education: BS, Biomedical Engineering with a minor in User Experience (UX), Milwaukee School of Engineering, 2020
Research Interests
In the LaViolette lab, I will be working to create and validate MRI imaging techniques to improve treatment efficacy for prostate cancer patients. Treatment of prostate cancer, ranging from active surveillance to radical prostatectomy, is dependent upon cancer severity. The grade discrimination of prostate cancer is imperfect and can result in overtreatment. My research will be focused on using machine learning algorithms to better understand what differentiates prostate cancer with high metastatic risk from cancer cured by surgery.