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Monte Lunacek

Researcher IV-Data Science

| 303-275-3157

Monte Lunacek is a part of the Data Analysis and Visualization Group within the Computational Science Center where he uses high-performance computing and data science to improve future mobility. This includes a variety of work like the Athena project that guides mobility transformations at the Dallas-Fort Worth Airport and the Connected Autonomous Vehicles project that uses high-performance computing to make learning to drive autonomous and connected vehicles more efficient. Monte enjoys sharing his knowledge with the community through various tutorials on data analysis, visualization, and machine learning.

Research Interests

Distributed computing

Machine learning

Data optimization and analysis

Web visualization

Education

Ph.D., Computer Science, Colorado State University

M.S., Computer Science, Colorado State University

B.S., Applied Mathematics, University of Colorado Colorado Springs

Online certificates in:

  • Convolutional Neural Networks 
  • Neural Networks and Deep Learning 
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 
  • Sequences, Time Series, and Prediction
  • Structure Machine Learning Projects
  • Introduction to Big Data Apache Spark

Featured Work

Understanding biases in pre-construction estimatesThe Science of Making Wind from TORQUE (2018)

Transactive home energy management systems, IEEE Electrification Magazine (2016)

Application of an evolutionary algorithm for parameter optimization in a gully erosion model, Journal of Environmental Modelling and Software (2016)

View all NREL publications for Monte Lunacek