I am currently a post-doc at Purdue University. I received my Ph.D. in Computer Science Department at Purdue University, where I am advised by Prof. Ananth Grama. My research interests lies in optimization, machine learning, and causal inference. Prior to joining Purdue University, Chih-Hao received his B.S in Computer Science from National Tsing Hua University. I also worked as a Research Assistant at Academia Sinica for a few months before stuyding at Purdue.

News

• 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