Published several papers including 'Differentially Private Gomory-Hu Trees', 'Near-Optimal Trace Reconstruction for Mildly Separated Strings', 'Hashing for Sampling-Based Estimation', and more, covering areas such as machine learning, learning-augmented algorithms, and hashing-based algorithms and data structures.
Research Experience
Currently a postdoctoral researcher at the University of Copenhagen at BARC (Basic Algorithms Research Copenhagen). Previously a postdoc at MIT, working with Piotr Indyk and his students.
Education
Ph.D. from the University of Copenhagen, supervised by Mikkel Abrahamsen and Mikkel Thorup.
Background
Broadly interested in theoretical computer science, particularly in differential privacy, learning-augmented algorithms, distribution testing, and hashing. Also enjoys working on various problems within graph theory and computational geometry.