Staff Fellow — Division of Bioinformatics and Biostatistics

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Zhiyuan (Julian) Lu, Ph.D.
(870) 543-7121
[email protected]

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About  |  Publications

Background

Zhiyuan (Julian) Lu graduated with a Bachelor of Science degree from the University of Illinois at Urbana Champaign, majoring in mathematics. He later attended the University of Michigan and worked on research in nonparametric estimators and change point estimators, with a focus on big data settings. In 2019, he graduated with a Ph.D. in statistics and joined FDA’s National Center for Toxicological Research (NCTR) later that year.

Research Interests

Dr. Lu’s research at NCTR involves statistical analysis of retrospective healthcare data using various methods. His work has included developing inference methods to the FDA Adverse Event Reporting System (FAERS), classifying medical text using natural language processing methods, and analyzing the electronic health record MIMIC-III dataset for causal effects. The general goal of past and present research is developing methods to more completely utilize the large amount of existing medical data to better monitor and understand the state of healthcare.

Professional Societies/National and International Groups 

American Statistical Association
Member
2016 – 2020

Selected Publications 

Medical Information Mart for Intensive Care: A Foundation for the Fusion of Artificial Intelligence and Real-World Data.
Rogers P., Wang D., and Lu Z.
Frontiers in Artificial Intelligence. 2021, 2624-8212; 10.3389/frai.2021.691626.

Intelligent Sampling and Inference for Multiple Change Points in Extremely Long Data Sequences.
Lu Z., Banerjee M., and Michailidis G.
arXiv e-prints. 2017: arXiv-1710. doi.org/10.48550/arXiv.1710.07420.