Get to know me!
Hi, my name is Michael and I am a sophomore at Stanford University majoring in Computer Science (AI Track) and minoring in Economics.
Outside of work and class, I'm a big coffee fan ☕️ and an even bigger corgi lover 🐶 I also love working out and am constantly on the hunt for the next great read. If you have any recommendations, let me know!
While the world is theoretically a finite system, I believe that the complexity of the world is essentially infinite given our current lifespan. Thus, I believe that we should never stop growing and that's what I constantly strive for. I am interested in the intersection of technology and the humanities, and feel that the two schools of thought are simple different flavors of the human experience. I actually wrote some poems on the topic: check them out below!
Natural Language Processing
I am pursing the following at Stanford University:
- B.S., Computer Science (AI Track), Class of 2025
- M.S., Management Science and Engineering (prospective)
- Minor, Economics
Outside of class, I am Vice President of Tech in the Stanford Pre-Business Association (SPBA), and previously led a business consulting project for Webacy, a seed-stage Web-3 startup creating next-generation asset protection products. I am also Director of HackSpace at Stanford Business Association of Stanford Entrepreneurial Students (BASES), , which seeks to create a space to inspire and grow the next unicorns on campus! I am also a member of ASES Breakthroughs Deep Tech team (a premier venture capital education program), and a former member of Donner Houses dorm government!
Another one of my claims to fame is being on Stanford Dinings' website!
Relevant Coursework CS231N Deep Learning for Computer Vision CS224N Natural Language Processing with Deep Learning CS221 Artificial Intelligence: Principles and Techniques STATS202 Data Mining and Analysis CS131 Foundations of Computer Vision CS161 Design and Analysis of Algorithms
|CS231N||Deep Learning for Computer Vision|
|CS224N||Natural Language Processing with Deep Learning|
|CS221||Artificial Intelligence: Principles and Techniques|
|STATS202||Data Mining and Analysis|
|CS131||Foundations of Computer Vision|
|CS161||Design and Analysis of Algorithms|