Artificial Intelligence at Oxford

Before I bring you through my experience studying AI at the University of Oxford, I’d like to acknowledge the invaluable support I have received from the following individuals and organizations. Thank you to Dr. Arvind Magesan for sponsoring this opportunity, writing a letter of recommendation, and exposing me to the realm of Machine Learning in Economics. My heartfelt appreciation to Dr. Jared Secord and Dr. Juliet Guichon for their guidance in shaping my personal statement and to Dr. Asheesh Advani for writing a letter of recommendation. Lastly, thank you Scholars Academy for the Career and Professional Development Award. 

The Artificial Intelligence and Machine Learning: Theory and Practice program I attended in August 2023 covers topics ranging from Regression and Neural Networks to Deep Learning and Generative AI. Equipped with newfound skills, I emerged from the program with the ability to code AI models for tasks such as predictive analysis, classification, image recognition, object detection, and generative modelling. It was intense — especially coming from a non-coding background. I spent every waking hour coding, understanding the mathematics that underlies the models, and grappling with how a machine learns. It is astonishing how simple linear algebra and calculus can help turn our complex world into deductive conclusions. Yet, like most experts, I found myself pondering the enigma of how these systems arrive at consistently accurate and true answers. It led me to confront the question of how our brain works. What decides sentience, consciousness, and free will? 

The experience of immersing myself in the Oxford University system is remarkable. I get the chance to connect with students from around the world. These interactions catalyzed self-discovery, as I absorbed diverse modes of thinking from my fellow students. Other highlights of the program include the day trip to Blenheim Palace and London City, museum tours, Croquet, Ceilidh, and various interactions with leading academics and scientists. 

I went to Oxford in the quest to enlighten myself about the application of AI in economics. Dr. Susan Athey, Professor in Economics and AI from Stanford University, eloquently pointed out that machine learning models can help Economists address the intricate problem of causal inference. I’ve experienced first-hand how AI can give us a better sense of how the economy works, and, most importantly, inform how we can make better decisions. 

My time at Oxford was an odyssey of intellectual growth, cultural exchange, and personal introspection. The fusion of AI with academic rigour not only broadened my horizons but also illuminated the profound influence of AI on diverse domains. As I step beyond the hallowed halls of Oxford, I carry forward a renewed curiosity and a commitment to harness the power of AI for the betterment of society.