Overview

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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. Ian brings his background in statistics to NREL to develop computationally efficient, generalizable artificial intelligence (AI) models for renewable energy applications.

Research Interests

Bayesian statistics

Optimization

Record linkage

Network statistics

Markov chain Monte Carlo

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