Dan Waxman
PhD Candidate, Stony Brook University

Department of Electrical and Computer Engineering
Stony Brook University
Stony Brook, New York, USA
I’m a fourth-year PhD student at Stony Brook University working with Petar Djurić. I’m broadly interested in Bayesian machine learning and causality, with some more specific interests in online and continual learning and Gaussian processes. I’m particularly interested in advancing theoretical methods in pursuit of applications, for example in the earth sciences with SW-IFL or in conciousness science. You can find more about my research interests in publications on my research page.
Prior to graduate school, I also completed my undergrad at Stony Brook in math and statistics. I’m a Senator in the SBU Graduate Student Organization, and was recently a member of Project REACH and the SBU Strategic Planning Steering Committee. For the past several years, I’ve participated in the Directed Reading Programs of CUNY and SBU, where I mentor students in semester-long reading projects in math, machine learning in statistics.
news
Dec 7, 2024 | Tangent Space Causal Inference was accepted as a poster at NeurIPS 2024. |
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May 5, 2024 | Our paper Dynamic Online Ensembles of Basis Expansions was recently accepted to Transactions on Machine Learning Research (TMLR)! You can check out the paper on OpenReview or the arXiv. The code is also available on GitHub. |
Apr 14, 2024 | I’m excited to be in Seoul this week for ICASSP 2024! I’ll be presenting DAGMA-DCE on Wednesday morning – if you’d like to chat about the paper (or anything else) let me know! |
Jan 9, 2024 | The final version of the DAGMA-DCE paper is now available on IEEE Xplore and the arXiv! |
Sep 13, 2023 | Giving a guest talk at the Acoustics Research Institute of the Austrian Academy of Sciences on our recent works in causal discovery. |
selected publications
- ICASSP ’25Decentralized Online Ensembles of Gaussian Processes for Multi-Agent SystemsIn 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025Accepted.