Computer Science, Economics, & French
I used to be left-handed, but I'm now right-handed
A quote from ‘Master Algorithms’ highlights my affinity for Computer Science: "Algorithms are like a black limo with tinted windows that shows up mysteriously one night and drives you off somewhere." For me, studying Computer Science symbolizes control—being in the driver's seat of this limo, shaping algorithms from input to output. I question blind trust in algorithms; my goal is to acquire the skills necessary to understand them, which is crucial for fostering transparency and accountability, especially in areas where livelihoods are at stake.
After reading a discussion on predictive analysis in ‘The Signal and the Noise’ by Nate Silver, I conducted an independent research project on how Big Data impedes our ability to make reliable predictions. Additionally, I have a passion for languages and am currently learning French and German, as this is the best way to connect with different cultures. To explore the link between Computer Science and foreign languages, I developed a website that allows users to read French books with immediate translations.
Outside of my studies, I fundraised over £500 for an independent 100km hike in France and Belgium for the Mark Evison Foundation. This was a strenuous challenge, but by seeing it as a learning opportunity rather than a barrier, it pushed me beyond my comfort zone to explore different cultures. Moreover, through tutoring and participating in charity events such as a TeachFirst marathon, which raised money to ensure equal educational opportunities, I’ve witnessed firsthand how disparities significantly affect children’s educational outcomes.
Ultimately, I’ve learned that the potential of algorithms extends far beyond the code they are built from: it’s also about the purpose, context, stakeholders, and ethics. Notably, I believe that the use of data necessitates careful consideration of the decision-makers involved, as they ultimately shape the societal implications of technology. I hope to use technology to develop solutions that paint a broader picture than numbers alone can convey.
SPIRE to me is a unique opportunity where my ideas and perspectives are not only heard, but support and resources are provided to achieve my goals, whether it’s becoming a Data Scientist or enhancing my personal skills in communication, networking, and leadership. Through mentorship, workshops, and the LLC, SPIRE truly maps the blueprint for development. I already am inspired by other SPIRE members who reflect where I want to be in the future – Lamees Subeir (class of ’27) is passionate about exploring the impact of technology on social change and examining racial profiling in artificial intelligence, particularly within police profiling systems, which aligns perfectly with my own interest in addressing systemic biases through technology and my goal to develop equitable and inclusive solutions. It is invaluable to me to be surrounded by like-minded individuals with whom we can exchange ideas, support one another, and inspire each other to grow and improve.
