I am currently an Applied Scientist at Amazon, working on search, ranking, pricing, and LLM problems. Before that, I was a post-doc and received my Ph.D. in the Computer Science Department at Purdue University, working on research problems in optimization, machine learning, causal inference, and NLP. I received my B.S in the Computer Science Department at National Tsing Hua University and worked as a Research Assistant at Academia Sinica before moving to Purdue. I am an active reviewer and enjoy being a reviewer for NeurIPS and ICML conferences (2024, 2023, 2022).

P.S. Last year, August (2023), I missed the precious opportunity to serve as a reviewer at ICLR for some reasons and would appreciate the invites again!!

News

• Happy to serve as a reviewer at ICML. Jan, 2024.
• Paper accepted to ACM BCB (Jul ‘23). Published in Cell iScience. Jan, 2024.
• Applied Scientist at Amazon, Dec, 2023.
• Accepted and prestented a poster on GNN model for News framing prediction task at (The New Directions in Analyzing Text as Data (TADA), Nov, 2023.
• Invited to serve as a reviewer of NeurIPS. March, 2023.
• Invited to serve as a reviewer of ICML. Jan, 2023.
• Postdoctoral Research Associate at Purdue University , Jan, 2023.
• Ph.D Graduated, Dec, 2022.
• Paper accepted in PLOS Digital Health, Sep ‘22.
• Invited to serve as a reviewer of NeurIPS. March, 2022.
• Invited to serve as a reviewer of ICML. Feb, 2022.
• Invited to serve as a reviewer of ICPP. May, 2021.
• Presented our work “Identifying and Analyzing Sepsis States: A Retrospective Study on Patients with Sepsis in ICUs” at Regenstrief Center for Healthcare Engineering (RCHE), (flyer). Feb 24, 2021.
• Featured article about our Distributed GPU-Accelerated Optimizer for Multiclass Classification Problems (link). Feb 3, 2021.
• Google Fellowship Nominated by Purdue University. Sept, 2020
• Invited to serve as a reviewer of ICDM. 2020.
• Book Chapter “Parallel Optimization Techniques for Machine Learning”. Springer. 2020
• Received Regenstrief Center for Healthcare Engineering (RCHE) Student Scholarship, Purdue University. 2020 (Tweet)
• Our paper “Newton-ADMM: A Distributed GPU-Accelerated Optimizer for Multiclass Classification Problems” has been accepted in the Proceedings of the ACM/IEEE Supercomputing Conference (SC20) - 18% acceptance rate.
• Received Regenstrief Center for Healthcare Engineering (RCHE) Travel Award, Purdue University. 2020
• Received SIAM International Conference on Data Mining Travel Award (Cancelled due to COVID-19 outbreak), Cincinnati, Ohio, USA. 2020