BSDS Student Profile: Madeleine Cummings

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Madeleine Cummings

Education 
B.S. in Data Science 2027, University of Virginia

Minor: General Business

Hometown 
Madison, CT

Q: What sparked your interest in data science? 

I have always found myself intrigued by numbers and the use of data. Growing up, that often took the form of a love for math inside the classroom and games that use mathematical logic and probability to inform strategic decision-making outside the classroom. 

Whether it was playing cards or balancing chemical equations I was enthralled with problem solving and using numbers. As I continued my high school education, I also discovered a love for coding and figuring out how to use technology as a tool. However, while I loved math and computer science, I still felt like something was missing: the real life applications and numbers. 

When I started to consider data science as a possible major and career option I realized that it was an intersection of many of my interests. It uses mathematical logic, data and technology as a tool to break down large scale problems and find cohesive solutions. Ever since then it has become ever more apparent to me that data science is something I would like to pursue.

Q: How does it feel to be a pioneer in UVA's B.S. in Data Science (BSDS) program as part of the first cohort? What are you most looking forward to during your time in the program? 

I have been thrilled with the program so far! While the program is new, it allows us the opportunity to provide input on what we are looking to get out of the program, where it can improve, and the resources we would like to see. Professors make a large effort to adjust their classes to the needs of the students and prioritize true learning over following the syllabus to the dot. Every day it becomes apparent to me that the program has been carefully designed with the students in mind: aiming to provide them with individualized resources tailored to their interests and learning style.

At the moment, I am excited to be able to start taking classes for my concentrations! I am excited to be able to use them to get a more in depth look on the aspects of data science I am most interested in, and use them to tailor my degree to my aspirations and passions.

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Q: What specific aspect of data science intrigues you the most? 

I am particularly interested in data analytics and machine learning. Machine learning has and is continuing to become exceptionally present in many aspects of our lives. It can be used as an extremely useful tool for both professional and personal use to make our decisions more strategic and informed. I am extremely excited to learn more about it and the multitude of ways it can be used in the modern day.

Q: How do you plan to use responsible data science for the common good? 

With the rise of AI and machine learning algorithms, it’s easy to assume their outputs are reliable, ethical, and unbiased. However, this is not always the case. These algorithms are often opaque, even to those managing them, making it difficult to understand their sources of information or assess their societal impact. While data and machine learning are powerful tools, without proper regulation, thoughtful oversight, and human insight, they risk perpetuating stereotypes and exacerbating social issues.

To address these challenges, we need experts in data science to design, manage, and refine algorithms, ensuring that the narratives being told are both ethical and reliable. My goal is to leverage data science to drive innovation that aligns with technological advancements while safeguarding the well-being of consumers and society as a whole.

Q: What has surprised you about the BSDS program so far?  

What has surprised me the most is the abundance of resources, programming, and opportunities available to BSDS students. Programs like the Accelerate Series, access to faculty mentors, and networking events have been instrumental in helping me develop critical professional skills, discover my interests, and feel more confident in my degree path.

Additionally, I didn’t realize how valuable it would be to have all resources centralized in one place. As the School of Data Science is a smaller school, its resources are not only easily accessible but also specifically tailored to the needs of data science students. Whenever I have a question, I know there are numerous people in the building who are ready to help. This accessibility has allowed me to form meaningful personal connections, as opposed to relying solely on email communication.

Q: What extracurriculars, clubs or sports are you involved in? 

I love to volunteer in my extra time. So during the school year, I am involved in Madison House where I help out at Trailblazer elementary school’s after school program. I am also in Rotaract which is a service based club that also works on developing leadership and professional skills. 

Since I now have a car, my friends and I have been enjoying doing Fido Field trips, where we take a local dog out of the animal shelter for the day! I am also a part of Sigma Kappa where I am particularly passionate about our philanthropies which involve raising money for Alzheimer's research and volunteering at the Martha Jefferson House! I am also a part of the Data Science and Analytics Club & Girl Up.

Q: What is a fun fact or two about you?  

1. My favorite room in the School of Data Science building is the wellness room! 

2. I love to cook and bake.