Welcome

About. I am pursuing a Ph.D. in Computer Science at Stanford University, where my research spans machine learning and natural language processing. I am co-advised by Professors Dan Jurafsky and James Zou and am affiliated with the Stanford NLP Group. In parallel, I am earning a law degree (J.D.) from Stanford Law School (SLS) and conducting research at the intersection of law and technology under the supervision of Professor Daniel E. Ho at the Stanford RegLab. At SLS, I am also serving as the co-president of the Stanford Law & Technology Association (SLATA) and the Stanford Law & AI Society (SAILS) this year. 

Before Stanford, I graduated from Harvard College, with a joint degree in Mathematics and Computer Science and a secondary in Folklore & Mythology. During my time at Harvard, I had the privilege of working closely with Professors Stuart M. Shieber, Scott D. Kominers, and Alyssa A. Goodman; contributed to the PredictionX Project; and co-founded the Harvard Machine Intelligence Community.  

I have previously interned at Google Brain (Reasoning Team), Microsoft Research New England (under Professor Adam T. Kalai) , Meta GenAI (Llama Team), and Xyla. Additionally, I have served as a legal intern at the Administrative Conference of the United States (ACUS), an independent federal agency dedicated to improving regulatory procedures. 

If you would like to get in touch with me, please reach out to me at msuzgun [at] stanford [dot] edu.