In my sophomore year of high school, my grandma was diagnosed with stage II breast cancer. I was devastated by the news and felt helpless in the matter. We had to shave all of her hair off to prepare her for chemotherapy, which is what made me fully realize the severity of her illness. A couple of months later, she was also diagnosed with dementia and Alzheimer’s. Seeing her in such a deteriorated state did a number on me, but I realized that sulking about it would not change anything. I needed to stay strong and fight to support her in any way I could. While trying to figure out anything I could do to help her with her illness, I ran into a major issue: I did not have any medical or biology experience, and I was not that interested in the healthcare or biomedical engineering fields.
I started to search for different ways to impact cancer and dementia in the medical field with my computer science and engineering experience. While many hospitals had information technology and data science roles available, I wanted to do more than that. I wanted to make a difference in a way that could help my grandma and, if not her, people struggling with cancer and dementia in the future. While thinking of different ways to apply my interests and knowledge practically to help combat these diseases, scientific research seemed to be the best place I could help. While I didn’t hold much biomedical understanding, if I learned more about data science and artificial intelligence models, I would most likely be able to help research relating to helping cancer and dementia patients.
After realizing this, I decided to take dual enrollment data science courses through high school during my senior year. I went on track to receive a data science certificate through the college. I slowly increased my knowledge of data handling by learning more about Python, R, SQL, and databases. As I learned more, I started to think about how to apply my newfound knowledge to help with research in the medical field. Even though I wasn’t qualified to assist with any scientific research directly, most researchers have to work with data, and in some cases, data sets get to immeasurable sizes. The data becomes challenging to work with and analyze, making it difficult for scientists to gain insight through their experiments. My data science courses taught me how to wrangle, tidy, and present data in a way that is easy for anyone to understand, regardless of whether they have data science experience. With these newfound skills, I felt better equipped to finally make an impact to help with medical research and, in some way, help my grandmother.
A few months into taking my classes, I was offered an internship working with cell cytometry. By closely analyzing cells, scientists can take the data from various types of cells, develop treatments for patients, and improve the effectiveness of existing treatments. Taking the data science courses has paid off, and now, with my knowledge and experience, I am working with a team on a project to improve data collection and analytics for single-cell cytometry. I finally felt like I was using my computer and data science skills to impact my grandma’s condition significantly. Through my work, I hope to help people in the medical field find ways to treat diseases better. The Morgan Levine Dolan Community Service Scholarship will allow me to attend university despite my financial struggles to achieve my goals of bettering myself through learning and bettering society through technology, research, and innovation.