Cristian E. Lacey

R&D S&E, Mechanical Engineering

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R&D S&E, Mechanical Engineering

celacey@sandia.gov

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Biography

Cristian joined Sandia in 2023 as a senior member of technical staff in the Plasma & Reacting Flows department. His research focuses on developing models and algorithms to mitigate the computational cost of high-fidelity, multi-physics simulations (in particular, turbulent reacting flows), often adopting a physics-based and/or data-based reduced-order modeling approach.

Education

DegreeMajorInstitutionYear Completed
PhDMechanical and Aerospace EngineeringPrinceton University2023
MAMechanical and Aerospace EngineeringPrinceton University2023
BEMechanical EngineeringThe Cooper Union2018

Peer-Reviewed Publications

Lacey, C.E., Soriano, B.S., Rieth, M., Mueller, M.E., Chen, J.H., Data-based filtered dissipation rate modeling for multi-modal turbulent combustion: Evaluating a priori model generalizability, Proceedings of the Combustion Institute (2024) in preparation
Jung, K.S., Lacey, C.E., Babaee, H., Chen, J.H., On-the-fly reduced order models of turbulent combustion with time-dependent bases and CUR decomposition, Journal of Computational Physics (2023) in preparation
Lacey, C.E., D’Alessio, G., Sundaresan, S., Mueller, M.E., Physics-based dimensionality reduction and deep learning modeling for multi-physics simulations, Data-Centric Engineering (2023) in preparation
Lacey, C.E., VanderKam, K., Sundaresan, S., Mueller, M.E., Data-based instantaneous conditional progress variable dissipation rate modeling for turbulent premixed combustion, Combustion and Flame (2023) in press
Lacey, C.E., Novoselov, A.G., Mueller, M.E., In-Situ Adaptive Manifolds: Enabling computationally efficient simulations of complex turbulent reacting flows, Proceedings of the Combustion Institute 38 (2021) 2673-2680
Novoselov, A.G., Lacey, C.E., Perry, B.A., Mueller, M.E., Large Eddy Simulation of a turbulent lifted flame using multi-modal manifold-based models: Feasibility and interpretability, Proceedings of the Combustion Institute 38 (2021) 2581-2588

Conference Papers & Presentations

2023
Lacey, C.E., Soriano, B.S., Rieth, M., Mueller, M.E., Chen, J.H., Evaluating generalizability of a deep learning model for the instantaneous conditional dissipation rate profiles in multi-modal turbulent combustion, 76th Annual Meeting of the APS Division of Fluid Dynamics, Washington, DC, November 19-21, 2023
Bonilla, I.J., Lacey, C.E., Mueller, M.E., In-Situ Adaptive Manifolds for modeling a turbulent piloted jet flame with inhomogeneous inlets, 76th Annual Meeting of the APS Division of Fluid Dynamics, Washington, DC, November 19-21, 2023
Robang, A.S., Lacey, C.E., D’Alessio, G., Mueller, M.E., Deep learning modeling of the filtered generalized progress variable dissipation rate in turbulent premixed combustion, UCI Combustion Institute-Summer School, Irvine, CA, August 20-25, 2023
Lacey, C.E., Rieth, M., Chen, J.H., Mueller, M.E., Deep learning model for the instantaneous dissipation rate profiles in multi-modal turbulent combustion, 13th U.S. National Combustion Meeting, College Station, TX, March 19-22, 2023
Bonilla, I.J., Lacey, C.E., Mueller, M.E., Computational cost improvements for In-Situ Adaptive Manifolds for turbulent combustion modeling, 13th U.S. National Combustion Meeting, College Station, TX, March 19-22, 2023
Robang, A.S., Lacey, C.E., D’Alessio, G., Mueller, M.E., Deep learning modeling of the filtered generalized progress variable dissipation rate in turbulent premixed combustion, 13th U.S. National Combustion Meeting, College Station, TX, March 19-22, 2023
2022
Lacey, C.E., D’Alessio, G., Sundaresan, S., Mueller, M.E., Physics-based dimensionality reduction and deep learning modeling for multi-physics simulations, 2nd Energy & Informatics International Forum, Honolulu, HI, December 13-17, 2022
Lacey, C.E., Rieth, M., Chen, J.H., Mueller, M.E., Data-based modeling of instantaneous dissipation rate profiles in multi-modal turbulent combustion, 75th Annual Meeting of the APS Division of Fluid Dynamics, Indianapolis, IN, November 20-22, 2022
Bonilla, I.J., Lacey, C.E., Mueller, M.E., Performance considerations for In-Situ Adaptive Manifolds for turbulent combustion modeling, 75th Annual Meeting of the APS Division of Fluid Dynamics, Indianapolis, IN, November 20-22, 2022
Lacey, C.E., Sundaresan, S., Mueller, M.E., Data-based instantaneous conditional progress variable dissipation rate modeling for turbulent premixed combustion, 39th International Symposium on Combustion, Vancouver, CA, July 24-29, 2022
Lacey, C.E., D’Alessio, G., Sundaresan, S., Mueller, M.E., Physics-based dimensionality reduction and deep learning model for the progress variable dissipation rate in turbulent premixed combustion, 18th International Conference on Numerical Combustion, San Diego, CA, May 8-11, 2022
Lacey, C.E., Sundaresan, S., Mueller, M.E., Deep learning model for the instantaneous conditional progress variable dissipation rate in turbulent premixed combustion, Spring Technical Meeting of the Eastern States Section of The Combustion Institute, Orlando, FL, March 6-9, 2022
2021
Lacey, C.E., Sundaresan, S., Mueller, M.E., Data-based progress variable dissipation rate modeling for turbulent premixed combustion, 74th Annual Meeting of the APS Division of Fluid Dynamics, Phoenix, AZ, November 21-23, 2021
Lacey, C.E., Mueller, M.E., Large Eddy Simulations of turbulent flames with multiple and/or inhomogeneous inlets using In-Situ Adaptive Manifolds, 12th U.S. National Combustion Meeting, College Station, TX, May 24-26, 2021
Lacey, C.E., Novoselov, A.G., Mueller, M.E., In-Situ Adaptive Manifolds: Enabling simulations of complex turbulent reacting flows, 38th International Symposium on Combustion, Adelaide, AU, January 24-29, 2021
Novoselov, A.G., Lacey, C.E., Perry, B.A., Mueller, M.E., Large Eddy Simulation of a turbulent lifted flame using multi-modal manifold-based models: Feasibility and interpretability, 38th International Symposium on Combustion, Adelaide, AU, January 24-29, 2021
2020
Lacey, C.E., Mueller, M.E., Leveraging In-Situ Adaptive Manifolds for computationally efficient simulations of turbulent combustion with multiple and/or inhomogeneous inlets, 73rd Annual Meeting of the APS Division of Fluid Dynamics, Chicago, IL, November 22-24, 2020
Lacey, C.E., Novoselov, A.G., Mueller, M.E., In-Situ Adaptive Manifolds: Enabling simulations of complex turbulent reacting flows, Spring Technical Meeting of the Eastern States Section of the Combustion Institute, Columbia, SC, March 8-11, 2020
Novoselov, A.G., Lacey, C.E., Mueller, M.E., Multi-modal manifold-based modeling of turbulent lifted flames, Spring Technical Meeting of the Eastern States Section of the Combustion Institute, Columbia, SC, March 8-11, 2020
Chin, A., Faddoul, R., Lacey, C.E., Mosin, A., Zhang, O., Baglione, M., Rundell, J., Optimizing condenser water supply temperature to minimize energy usage, 2020 ASHRAE Winter Conference, Orlando, FL, February 1-5, 2020
2019
Lacey, C.E., Novoselov, A.G., Mueller, M.E., In-Situ Adaptive Manifolds: Enabling simulations of complex turbulent reacting flows, 72nd Annual Meeting of the APS Division of Fluid Dynamics, Seattle, WA, November 23-26, 2019
Novoselov, A.G., Lacey, C.E., Mueller, M.E., Large Eddy Simulations of turbulent flames using two-dimensional reduced-order manifold models, 72nd Annual Meeting of the APS Division of Fluid Dynamics, Seattle, WA, November 23-26, 2019
2018
Wei, H., Bianco, V., Lacey, C.E., Trubatch, A.D., Yecko, P.A., Experimental quantification of volume loss rate and flow dynamics due to a magnetically localized fluid region in a laboratory model blood vessel flow, 12th International Conference on the Scientific and Clinical Applications of Magnetic Carriers, Copenhagen, DK, May 22-26, 2018

Awards

AwardYear
Charlotte Elizabeth Procter Fellowship
Competitive fellowship recognizing outstanding graduate research
Princeton University
2022
SCGSR Fellowship
Selective national fellowship that funds graduate thesis research at a DOE laboratory
DOE Office of Science
2022
Luigi Crocco Prize
For demonstrated excellence in teaching
Princeton University
2021
Sayre Award for Academic Excellence
Highest-ranking graduate student after first year
Princeton University
2019
Daniel and Florence Guggenheim Foundation Fellowship
Competitive second-year fellowship
Princeton University
2019
Gordon Y. S. Wu Fellowship in Engineering
Competitive first-year fellowship
Princeton University
2018
Henri D. Dickinson Award
Highest cumulative ranking upon graduation
The Cooper Union
2018
Alexander C. Grove Memorial Prize
For scholarship, personal integrity, and professional promise
The Cooper Union
2018
The Mechanical Engineering Design Prize
For excellence in mechanical design
The Cooper Union
2018
Tyler G. Hicks Mechanical Engineering Prize
For academic achievement during the first two years
The Cooper Union
2016
Howard Silfin Mechanical Engineering Internship Award
For ability to conduct quality research
The Cooper Union
2015
Half-Tuition Scholarship
Merit scholarship for all four years
The Cooper Union
2014