Research Output per Year
Research Output per Year
Overview
Personal Profile
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Ian Taylor is researching multimodal surrogate models for Bayesian optimization, which incorporate additional data sources to aid optimization of expensive objective functions. He brings his background in statistics to NLR to develop computationally efficient, generalizable artificial intelligence (AI) models for renewable energy applications.
Research Interests
Bayesian statistics
Record linkage
Network statistics
Markov chain Monte Carlo
Optimization
Machine learning
Professional Experience
Strategy Analyst, CarMax Auto Finance (2013–2017)
Education/Academic Qualification
Bachelor, Mathematical Sciences, Clemson University
PhD, Statistics, Colorado State University
Master, Statistics, Colorado State University
Fingerprint
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Research Output
- 1 Article
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Multi-Modal Bayesian Neural Network Surrogates with Conjugate Last-Layer Estimation: Article No. 2678022
Taylor, I., Mueller, J. & Bessac, J., 2026, In: Data Science in Science. 5, 18 p.Research output: Contribution to journal › Article › peer-review
Activities
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American Statistical Association (External organization)
Taylor, I. (Member)
0001Activity: Membership › Membership of network