avatar

Annie Ulichney

Statistics PhD Student
UC Berkeley
annie_ulichney (at) berkeley.edu


I am a PhD Student in Statistics at UC Berkeley advised by Michael I. Jordan. My research focuses on developing responsible and reliable learning and decision-making algorithms by integrating tools from statistics and computer science.

I am grateful to have my work supported by the NSF Graduate Research Fellowship.

Previously, I worked in software engineering after receiving a B.S. from Yale University, where I majored in Applied Mathematics and Mechanical Engineering.

Publications

  1. Fair Allocation in Dynamic Mechanism Design
    Alireza Fallah, Michael I. Jordan, Annie Ulichney
    NeurIPS 2024
    ICML Workshop: Humans, Algorithmic Decision-Making and Society 2024
    PDF

  2. {BalanceProofs}: Maintainable Vector Commitments with Fast Aggregation
    Weijie Wang, Annie Ulichney, Charalampos Papamanthou
    32nd USENIX Security Symposium, 2023.
    PDF

  3. Automatic Infectious Disease Classification Analysis with Concept Discovery
    Elena Sizikova, Joshua Vendrow, Xu Cao, Rachel Grotheer, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Thomas Merkh, RWMA Madushani, Kenny Moise, Annie Ulichney, Huy V Vo, Chuntian Wang, Megan Coffee, Kathryn Leonard, Deanna Needell
    Machine Learning for Health (ML4H) 2022 Extended Abstract.
    PDF Code

  4. Population-Based Hierarchical Non-Negative Matrix Factorization for Survey Data
    Xiaofu Ding, Xinyu Dong, Olivia McGough, Chenxin Shen, Annie Ulichney, Ruiyao Xu, William Swartworth, Jocelyn T Chi, Deanna Needell
    2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
    PDF


Powered by Jekyll and Minimal Light theme.