Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
Publications: 'MetaPoison: Practical General-purpose Clean-label Data Poisoning', 'DeepErase: Weakly Supervised Artifact Removal from Document Text Images', 'Strong Baseline Defenses Against Clean-Label Poisoning Attacks', etc.
Research Experience
Machine Learning Researcher at EY LLP and the University of Maryland; previously worked for 8 years in optical physics at MIT, NASA, German Electron Synchrotron, and MIT Lincoln Lab.
Education
Ph.D., Electrical Engineering and Computer Science, 2017, Massachusetts Institute of Technology; B.Sc., Applied and Engineering Physics, 2009, Cornell University
Background
Machine Learning Researcher, focused primarily on deep learning. Research interests include adversarial machine learning, generalization in ML, and optics and photonics.
Miscellany
Interests: Transitioned from optical physics to machine learning out of fascination with the remarkable results of deep learning and a curiosity about the inner workings of intelligence, aiming to build robust, interpretable, and generalizable machines.