Education

Aug 2011 – May 2015 University of California, Berkeley
Ph.D. in Mechanical Engineering, with Designated Emphasis in Computational and Data Science and Engineering
M.Sc. in Mechanical Engineering (Dec 2013)

Aug 2007 – May 2011 Carnegie Mellon University
B.Sc. in Mechanical Engineering

Professional Experience

Google, LLC
Oct 2022 – Present Senior Software Engineer
Dec 2019 – Oct 2022 Software Engineer
Discover Feed Ads: ML infra and quality for retrieval systems

Lawrence Berkeley National Laboratory
Feb 2018 – Dec 2019 Project Scientist
Oct 2015 – Feb 2018 Post-doctoral Researcher
Earth and Environmental Sciences: ML, code generation, and validation of subsurface transport theories and software

University of California, Berkeley
May 2015 – Oct 2015 Post-doctoral Researcher
Aug 2011 – May 2015 Graduate Researcher
Computational Materials Research Lab: numerical methods for electromagnetic structure interaction

Army Research Lab
May 2014 – Aug 2014 U.S. Army Contractor
Adelphi Laboratory Center: numerical methods for electromagnetic structure interaction

Lawrence Berkeley National Laboratory
May–Aug 2013 Graduate Researcher
Advanced Technologies Group: particle accelerator control systems

Carnegie Mellon University
2008–2011 Undergraduate Researcher
Particle Flow and Tribology Lab: numerical algorithms for particle simulation

Open Source Repositories

Conference Papers

  1. Queiruga, A. F., N. B. Erichson, L. Hodgkinson, and M. W. Mahoney. “Stateful ode-nets using basis function expansions.” Advances in Neural Information Processing Systems 34 (2021): 21770-21781.
  2. Erichson, N. B., Azencot, O., Queiruga, A. F., Hodgkinson, L., & Mahoney, M. W. “Lipschitz Recurrent Neural Networks.” In International Conference on Learning Representations, 2020.

Publications

  1. Krishnapriyan, A. S., A. F. Queiruga (equal contribution), N. B. Erichson, and M. W. Mahoney. “Learning continuous models for continuous physics.” Nature Communications Physics 6, 319 (2023). doi: 10.1038/s42005-023-01433-4 (arxiv)
  2. White, M.D., Kneafsey, T.J., Seol, Y., Waite, W.F., Uchida, S., Lin, J.S., Myshakin, E.M., Gai, X., Gupta, S., Reagan, M.T. and Queiruga, A.F.,. “An international code comparison study on coupled thermal, hydrologic and geomechanical processes of natural gas hydrate-bearing sediments.” Marine and Petroleum Geology, p.104566. (2020) doi: 10.1016/j.marpetgeo.2020.104566
  3. Abali, B. E. and A. F. Queiruga, “Theory and computation of electromagnetic fields and thermomechanical structure interaction for systems undergoing large deformations,” Journal of Computational Physics, Volume 394, (2019). doi: 10.1016/j.jcp.2019.05.045
    Github: https://github.com/afqueiruga/EMSI-2018
  4. Reagan, M. T., G. J. Moridis, and A. F. Queiruga, “Simulation of Gas Production from Multilayered Hydrate Bearing Media with Fully Coupled Flow, Thermal, Chemical and Geomechanical Processes using TOUGH+Millstone: Part 3: Production Simulation Results,” Transport in Porous Media, 2019. doi: 10.1007/s11242-019-01283-1
  5. Reagan, M. T., G. J. Moridis, A. F. Queiruga, and S.J. Kim, “System Response to Gas Production from a Heterogeneous Hydrate Accumulation at the UBGH2-6 Site of the Ulleung Basin in the Korean East Sea,” Journal of Petroleum Science and Engineering, 2019. doi: 10.1016/j.petrol.2019.03.058
  6. Moridis, G. J., A. F. Queiruga, and M. T. Reagan, “Simulation of Gas Production from Multilayered Hydrate Bearing Media with Fully Coupled Flow, Thermal, Chemical and Geomechanical Processes using TOUGH+Millstone: Part 1: Numerical Modeling of Hydrates,” Transport in Porous Media, 2019. doi: 10.1007/s11242-019-01254-6
  7. Queiruga, A. F., G. J. Moridis, and M. T. Reagan, “Simulation of Gas Production from Multilayered Hydrate Bearing Media with Fully Coupled Flow, Thermal, Chemical and Geomechanical Processes using TOUGH+Millstone: Part 2: Geomechanical Formulation and Numerical Coupling,” Transport in Porous Media, 2019. doi: 10.1007/s11242-019-01242-w
  8. Reagan, M. T., G. J. Moridis, A. F. Queiruga, and R. Boswell. “Evaluation of the Performance of the Oceanic Hydrate Accumulation at Site NGHP-02-09 in the Krishna-Godawari Basin During a Production Test and Under Full Production”, Marine and Petroleum Geology, 2018. doi: 10.1016/j.marpetgeo.2018.12.001
  9. Queiruga, A. F. and G. J. Moridis, “Numerical experiments on the convergence properties of state-based peridynamic laws and influence functions in two-dimensional problems.” Computer Methods in Applied Mechanics and Engineering 322 (2017): 97-122. doi: 10.1016/j.cma.2017.04.016
  10. Queiruga, A. F. and T. Zohdi, “Microscale modeling of effective mechanical and electrical properties of textiles,” International Journal for Numerical Methods in Engineering, 2016. doi: 10.1002/nme.5268
  11. Queiruga, A. F. and T. Zohdi, “Formulation and numerical analysis of a fully-coupled dynamically deforming electromagnetic wire,” Computer Methods in Applied Mechanics and Engineering, vol. 305, pp. 292–315, 2016. doi: 10.1016/j.cma.2016.02.035
  12. Mpagazehe, J. N., A. F. Queiruga, and C. F. Higgs, “Towards an understanding of the drilling process for fossil fuel energy: A continuum-discrete approach,” Tribology International, vol. 59, pp. 273–283, 2013. doi: 10.1016/j.triboint.2012.08.001

Non-refereed works

  • Queiruga, A. F., N. B. Erichson, D. Taylor, and M. W. Mahoney. “Continuous-in-Depth Neural Networks.” arXiv preprint arXiv:2008.02389 (2020).
  • J. Newman, B. Cariste, A. F. Queiruga, I. Davis, B. Plotnick, M. Gordon, and S. San Martín, “Thermoacoustic refrigeration,” GSET Res. J., pp. 1–9, 2006.

Invited Talks

  1. Queiruga, A.F. “Continuous-in-Depth Neural Networks through Interpretation of Learned Dynamics” 1st Workshop on Scientific-Driven Deep Learning (SciDL), July 1 2020.
  2. Queiruga, A. F., “Machine Determination of Better Representations of Multiphase Equation of States for Subsurface Flow Simulation,” Machine Learning in Solid Earth Geoscience, Santa Fe, Nevada, March 2019.
  3. Queiruga, A. F., “Fully Coupled Multimesh Algorithms for Nonisothermal Multiphase Flow and Mechanics in Geological Formations”, SIAM Conference on Mathematical & Computational Issues in Geosciences, Houston, Texas, March 2019.
  4. Queiruga, A. F. and G. J. Moridis, “Numerical experiments on the convergence properties of state-based peridynamic laws and influence functions in two-dimensional problems,” World Congress of Computational Mechanics, New York City, New York, July 2018.
  5. Queiruga, A. F. and G. J. Moridis, “Smoothing Methods to Address the Numerical Stability of Peridynamics Near the Fracture Tip in Hydraulic Extension,” 18th U.S. National Congress for Theoretical and Applied Mechanics, Rosemont, Illinois, June 2018.