About Me

I’m a second year Ph.D. student in the Program in Applied and Computational Mathematics at Princeton University and I am fortunate to be advised by Prof. Jason Lee. I’m currently working on understanding implicit regularization in machine learning and my research interests broadly lie in optimization and machine learning. My research is supported by a National Science Foundation Graduate Research Fellowship.

I did my undergrad at Duke University where I received a B.S. in Mathematics and was fortunate to work with Prof. Cynthia Rudin and Prof. Hau-Tieng Wu.

Publications

• Label Noise SGD Provably Prefers Flat Global Minimizers
  Alex Damian, Tengyu Ma, Jason D. Lee (NeurIPS 2021)
• PULSE: Self-supervised photo upsampling via latent space exploration of generative models
  Sachit Menon*, Alex Damian*, Shijia Hu, Nikhil Ravi, Cynthia Rudin (CVPR 2020)
• New techniques for preserving global structure and denoising with low information loss in single-image super-resolution
  Yijie Bei*, Alex Damian*, Shijia Hu*, Sachit Menon*, Nikhil Ravi*, Cynthia Rudin* (CVPR NTIRE Workshop 2018)
• Squeeze-Free Hamiltonian Paths in Grid Graphs
  Alex Damian, Robin Flatland (CCCG 2015)

Note: * denotes equal contributions to the paper.

Awards

• NSF Graduate Research Fellowship (2021)
• Julia Dale Award, Duke University (2020)
• Angier B. Duke Scholarship, Duke University (2016)