Biography

I'm Class of 2028, undergraduate student pursuing Applied Mathematics & Statistics, Pre-Health, & Public Health major. I identify as a FLI (First Generation and/or Limited Income) student. I'm a second generation immigrant & identify as Chinese-American. As a student intended on studying medicine, I chose SRP to learn about how AI can be integrated into the practice of medicine. To do this, I would need to first learn about what AI is and how has it already been developed to be used in medicine. I'm prepared to learn about the holistic potential of AI and its application in medicine.

Academic Status

Undergraduate Student - 2nd

Research Area/Department

Applied Mathematics; other

Major/Specialty

Applied Mathematics & Statistics Public Health Studies Pre-Health Requirements

Degrees Earned or in Progress

Bachelors of Science (2024-2028) Bachelors of Art (2024 - 2028)

Academic Preparation

Physics I for Physical Sciences Linear Algebra Beginner Python Calc II General Chemistry Organic Chemistry I (Fall 2025) Calc III (Fall 2025)

Research/Publications

Phil Sojka (Johns Hopkins Medicine, Assistant Professor of Psychiatry and Behavioral Sciences) Yun Chen ( Johns Hopkins University, Associate Professor of Mechanical Engineering)

Research/Academic Interests

Patient centered research to reduce bias in physicians through training.

Computational and Data Science Areas

Applied Mathematics; Artificial Intelligence and Intelligent Systems; Basic Medicine; Clinical Medicine; Educational Sciences; Other Medical Sciences

Motivation

I want to participate in this program to learn how I can leverage AI to assist me become a good physician. I became motivated to become a doctor after my mother's health scare. She was in the ICU for 1 month, diagnosed with stage 4 lung cancer and ultimately saw the cancer undergo reemission during the same month. This was ultimately due to a specialty expert in pulmonary cancer, leading a great team of physicians, and the power of modern medicine. As the family member that saw the experienced, among my most memorable experiences, along with the news of shocking effectiveness of the tested drug, was the patient-physician interaction I had with the attending. When faced with CT scans that showed the spread of the cancer to my mother's brain and liver, her immediacy in taking action to run tests to confirm her greatest suspicion of a common gene mutation that's prevalent in mid-aged asian women that's never smoked. She's was right. Above all, in moments of dire emergency before the test results were back and only proof of the spread of the cancer, she offered hope. She also offered assurance. That she and her team is here to do their job so I can focus on just being a daughter in the moment. The attending being a mother 3 with her oldest daughter nearly the same age as me, I felt comforted. Admist news of AI being able to score better than medical students and paranoia of robots can perform surgery with greater accuracy than surgeons, my priority will remain to be a doctor that's able to offer hope and comfort with knowledge and compassion for families in moments of unexpected emergency. To me, medicine is a human experience. I believe in the ability of AI to do good for the medical system, such as serving in rural America where access to healthcare expertise is limited. In my goal of becoming an effective practitioner of medicine, I want to learn how I can use AI in medicine, to provide timely diagnosis, and how I can use AI to make quality care to more accessible.

Lightning Talk Title

At the Intersection of Health & Data

Keywords (Maximum 20 words)

Public Health; Medicine; Bioinformatics; Protein Prediction; Biostatistics; Python; R; Machine Learning; SPSS; Wet-Lab; Modeling