Clayton Miller (academic)

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Clayton Miller
Alma mater ETH Zurich (Dr. sc. ETH); National University of Singapore (MSc); University of Nebraska–Lincoln (BSAE, MAE)
Known forBuilding Data Genome Project; occupant-centric building control (IEA EBC Annex 79); Cozie smartwatch comfort platform
Scientific career
FieldsUrban informatics; building performance; data science
Institutions Singapore Management University; National University of Singapore; ETH Zurich
Thesis Screening Meter Data: Characterization of Temporal Energy Data from Large Groups of Non-Residential Buildings  (2016)

Clayton Miller is a building data scientist and urban informatics researcher. He is an Associate Professor of Urban Informatics at the College of Integrative Studies, Singapore Management University (SMU). [1] Miller leads the Building and Urban Data Science (BUDS) Lab, which in September 2025 moved to SMU after operating at the National University of Singapore (NUS) from 2017 to 2025. [2] He is known for open building-energy datasets, including the Building Data Genome Project, and for work on occupant-centric building design and operation. [3] [4]

Contents

Education

Miller earned a B.S. in Architectural Engineering (2006) and an M.A.E. (2007) from the University of Nebraska–Lincoln. He completed an M.Sc. (Building) at the National University of Singapore in 2011, and a Doctor of Sciences (Dr. sc. ETH) at ETH Zurich in 2016 with the thesis Screening Meter Data: Characterization of Temporal Energy Data from Large Groups of Non-Residential Buildings. [1] [5]

Career

From 2017 to 2025 Miller was on the faculty of the Department of the Built Environment at the National University of Singapore, where he established and led the Building and Urban Data Science (BUDS) Lab. [2] [6] In 2025 he joined the College of Integrative Studies at SMU as Associate Professor of Urban Informatics, where his group focuses on human experiences in indoor and outdoor environments and continues the BUDS Lab activities. [1] [2]

Miller has served as a co-leader of Subtask 4 (development and demonstration of occupant-centric building controls) of the International Energy Agency’s Energy in Buildings and Communities Programme (IEA EBC) Annex 79. [4] He has also collaborated with the Berkeley Education Alliance for Research in Singapore (SinBerBEST/BEARS) on data-analytics themes for the built environment. [7]

Miller’s research covers data analytics for buildings and cities, including methods to identify patterns in large energy-meter datasets and approaches for occupant-centric building operation. He was lead author of the Building Data Genome datasets, widely used for benchmarking and machine-learning studies in building energy prediction. [3] [8] He co-led international efforts on occupant-centric building controls within IEA EBC Annex 79, synthesizing real-world implementations and guidance for practice. [4]

Miller’s group also develops the open-source Cozie smartwatch platform to gather right-here-right-now feedback on environmental comfort and related physiological data for indoor and urban studies. [9] [10] [11]

Teaching and outreach

In 2020 Miller created the online course Data Science for Construction, Architecture and Engineering, initially offered on edX and later made available on YouTube. [12] [13] [14]

Selected works

References

  1. 1 2 3 "Clayton MILLER". Singapore Management University. Retrieved 25 September 2025.
  2. 1 2 3 "BUDS Lab". budslab.org. Retrieved 25 September 2025.
  3. 1 2 3 Miller, Clayton; Kathirgamanathan, Anjukan; Picchetti, Bianca; Arjunan, Pandarasamy; Park, June Young; Nagy, Zoltan; Raftery, Paul; Hobson, Brodie W.; Shi, Zixiao; Meggers, Forrest (2020). "The Building Data Genome Project 2, energy meter data from the ASHRAE Great Energy Predictor III competition". Scientific Data. 7 (368) 368. arXiv: 2006.02273 . Bibcode:2020NatSD...7..368M. doi:10.1038/s41597-020-00712-x. PMC   7591488 . PMID   33110076.
  4. 1 2 3 "Annex 79 Subtasks". IEA EBC Annex 79. Retrieved 25 September 2025.
  5. ↑ Miller, Clayton (2016). Screening Meter Data: Characterization of Temporal Energy Data from Large Groups of Non-Residential Buildings. ETH Research Collection (Thesis). doi:10.3929/ethz-a-010811999. hdl:20.500.11850/125778 . Retrieved 25 September 2025.
  6. ↑ "CLAYTON MILLER – Department of the Built Environment". National University of Singapore. Retrieved 25 September 2025.
  7. ↑ "Clayton Miller". International WELL Building Institute. Retrieved 25 September 2025.
  8. ↑ Miller, Clayton; Meggers, Forrest (2017). "The Building Data Genome Project: An open, public data set from non-residential building electrical meters" (PDF). eScholarship (University of California). Retrieved 25 September 2025.
  9. ↑ "What is Cozie?". Cozie. Retrieved 25 September 2025.
  10. ↑ "Cozie on the App Store". Apple App Store. 9 January 2024. Retrieved 25 September 2025.
  11. 1 2 Tartarini, Federico; Parkinson, Thomas; Miller, Clayton (2023). "Cozie Apple: An iOS mobile and smartwatch application for environmental quality satisfaction and physiological data collection". Journal of Physics: Conference Series. 2600 (14). arXiv: 2210.13977 . Bibcode:2023JPhCS2600n2003T. doi:10.1088/1742-6596/2600/14/142003.
  12. ↑ "edX course: Data Science for Construction, Architecture and Engineering (with Dr Clayton Miller)". National University of Singapore. Retrieved 25 September 2025.
  13. ↑ "Building the Future: How This edX Course Is Helping Architects and Engineers Harness the Power of Data". edX. 21 November 2022. Retrieved 25 September 2025.
  14. ↑ "Data Science for Construction, Architecture and Engineering – YouTube playlist". YouTube. 23 January 2025. Retrieved 25 September 2025.
  15. ↑ Miller, Clayton; Nagy, Zoltán; Schlueter, Arno (2015). "Automated daily pattern filtering of measured building performance data". Automation in Construction. 49: 1–17. doi:10.1016/j.autcon.2014.09.004 . Retrieved 25 September 2025.
  16. ↑ "The Building Data Genome Project" (PDF). eScholarship (University of California). Retrieved 25 September 2025.
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