李傲冬 Aodong Li Research Scientist, Granica Email: aodongli6@gmail.com [Research Interest] [Education] [GitHub] [Google Scholar] [Research] [Academic Activities] [Myself]

I am a research scientist at Granica working on large-scale machine learning. Previously, I was an Applied Scientist at AWS AI, where I delivered solutions for real-world problems across multiple products, including online adaptive modeling and optimization for Redshift query scaling prediction, large-scale unstructured data QA for Amazon Quick, code-generation agents (Text-to-SQL/CLI) for SageMaker and Amazon Ads.
I obtained my PhD in Computer Science at University of California, Irvine, advised by Prof. Stephan Mandt. Prof. Padhraic Smyth, Prof. Maja Waldron, and Prof. Marius Kloft also provided valuable feedback on my research. Before, I got my master degree from New York University, where I worked with Prof. Rajesh Ranganath and Prof. Yao Wang. I got my bachelor degree from Beijing University of Posts and Telecommunications, and I also worked closely with Prof. Dong Wang at Tsinghua University.
Here is my CV.

• My research interests lie in machine learning and safety, including anomaly detection, changepoint detection, adaptation, etc. I'm also interested in solving machine learning problems from a probabilistic perspective.

• 2019.9 - 2024.6: PhD in Computer Science, University of California, Irvine, US
• 2017.9 - 2019.6: MSCS, New York University, US
• 2014.9 - 2017.3: M.E., Bejing University of Posts and Telecommunications, China
• 2010.9 - 2014.6: B.E., Bejing University of Posts and Telecommunications, China

• Computer Science Department’s M.S. Thesis/Research Fellowship, Fall 2018, NYU

• Top reviewer for ICML, NeurIPS.
• Reviewer for ICML (2021-2024), NeurIPS (2021-2023), ICLR (2022-2023), AISTATS (2021, 2024).