I'm a Master's student at Fordham University with a major in Data Science. I graduated Summa Cum Laude from Fordham University as a member of the Honors Program with a BS in Computer Science and a minor in Economics.

I like Machine Learning, building efficient softwares to help people, and analyzing large datasets for insights.

My mission is to solve intelligence: to understand it and to build it. I've always been a generalist that's curious about how everything in the world works, and such curiosity drives me to learn about all fields of study. From math and the natural science, to the social science (getting an A in theology is still my proudest academic achievement), to the arts and humanity, each field gives me additional insight into unlocking the secrets of world. I always believe that the pursuit of knowledge is one of life's greatest endeavors.

Since I came across Machine Learning (shout out to 3Blue1Brown's amazing visualization of neural networks) at the end of 2021, I've found a new purpose and passion for myself: building a machine with more generalist capabilities than I could ever have. It's been just over 2 years, and I've learned so much about intelligence, both natural and artificial alike. Excited to see what future will bring next.

I invite others who share the same passion and mission to connect and collaborate with me. I'm interested in long term and hierachical planning in AI, explanable AI, and world models in learning systems. I have experience with applying AI techniques as well as theoretical research in AI safety. My latest results have been published at CISS 2023 and CNS-CRW 2023. Happy to discuss more and grab a coffee if you're in NYC.