Scholar
Simon Mak
Google Scholar ID: s5jmusEAAAAJ
Assistant Professor of Statistical Science, Duke University
Citations & Impact
Citations
2,237
H-index
22
i10-index
39
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- January 2024: Our paper 'PERCEPT: a new online change-point detection method using topological data analysis' was selected (one of two articles) by the editors for an outstanding Technometrics article in the ASA Choice Collection issue [link]
- August 2023: Greatly appreciative of new funding from NSF DMS 2220496, NSF DMS 2316012, and DE-SC0024477 on a variety of projects on threat detection, Quasi Monte Carlo sampling, and Bayesian uncertainty quantification.
- August 2023: Xiaojun Zheng was awarded the 2023 ASA Section on Physical and Engineering Sciences Best Student Paper Award for our paper 'PERCEPT: a new online change-point detection method using topological data analysis'. Congrats Xiaojun!
- May 2023: Flora Shi received the 2023 Undergraduate BEST Award, awarded to the best senior thesis in the Department of Statistical Science at Duke. Congrats Flora!
- November 2022: Honored to receive the Blackwell-Rosenbluth Award from j-ISBA, which recognizes outstanding junior Bayesian researchers for their contributions to the field and community.
Research Experience
- Currently the Program Chair-Elect of the ASA Section on Physical and Engineering Sciences, and an Associate Editor for Technometrics and Data Science in Science.
Background
- Assistant Professor in the Department of Statistical Science at Duke University. His research involves integrating domain knowledge (e.g., scientific theories, mechanistic models, guiding principles) as prior information for cost-efficient statistical inference, prediction, and decision-making. His ongoing research is motivated from interdisciplinary collaborations in high-energy and nuclear physics, aerospace engineering, and bio-engineering.