Hi! I am a final-year PhD student at MIT EECS and CSAIL, fortunate to be advised by Prof. Aleksander Mądry.
[News] I’m on the job market! Primarily looking for postdoc positions beginning ~Fall 2024 and relevant positions in industry research.
I’m broadly interested in understanding and improving machine learning (ML) methodology. In particular, I’m interested in viewing ML models through the lens of data:
Previously at MIT, I worked on understanding statistical-computational tradeoffs in high-dimensional statistics with Prof. Guy Bresler for my SM thesis.
Earlier during my PhD, I was supported by the MIT Akamai Presidential Fellowship and the Samsung Scholarship.
Prior to grad school, I received a BS in Computer Science from Cornell University in 2014, where I was fortunate to work with Prof. Ramin Zabih and Prof. Bobby Kleinberg.
In the past, I have interned at Waymo, Dropbox, and Google.
The Journey, Not the Destination: How Data Guides Diffusion Models
Kristian Georgiev*, Josh Vendrow*, Hadi Salman, Sung Min Park, Aleksander Mądry
In preparation, 2023.
FFCV: Accelerating Training by Removing Data Bottlenecks
Guillaume Leclerc, Andrew Ilyas, Logan Engstrom, Sung Min Park, Hadi Salman, Aleksander Mądry
On Distinctive Properties of Universal Perturbations
Sung Min Park, Kuo-An Wei, Kai Xiao, Jerry Li, Aleksander Mądry
On the Equivalence of Sparse Statistical Problems
Sung Min Park
SM thesis 2016
Structured learning of sum-of-submodular higher order energy functions
Alexander Fix, Thorsten Joachims, Sung Min Park, Ramin Zabih
Region Detection and Geometry Prediction
Patent from work during Summer 2020 internship at Waymo
Fourier Theoretic Probabilistic Inference over Permutations
Cornell, Spring 2014
Analysis of pipage method for k-max coverage
Cornell, Fall 2012
I grew up in Seoul and Singapore, where I attended SAS.
From 2016-18, I served in the Republic of Korea Army, where I met an amazing group of people and spent most of my free time trying to learn QFT.
In my free time, I enjoy lifting, playing basketball, rowing, watching the NBA, and learning physics.