Service, Organization & Research Advising

Review Panels, Scientific Committees, Editorial Boards

Workshop and Minisymposia Organization

  1. 18th U.S. National Congress on Computational Mechanics: co-organizer of minisymposium entitled “Modeling of glaciers and ice sheets”.
  2. XI International Conference on Coupled Problems in Science and Engineering (COUPLED 2025): co-organizer of invited session entitled “Numerical methods that enable the heterogeneous coupling of conventional and data-driven models for multi-scale and multi-physics problems”.
  3. 15th International Conference on Large-Scale Scientific Computations (LSSC) 2025: co-organizer of minisymposium entitled “Mathematics and Algorithms for Predictive Digital Twins (DTs)”.
  4. 23rd IACM Computational Fluids Conference (CFC) 2025: co-organizer of minisymposium entitled “Mathematics, Algorithms, and Software for Predictive Digital Twins in CFD”.
  5. Joint Mathematics Meetings 2025: co-organizer of minisymposium entitled “Mathematical foundations of climate and Earth system modeling” (by invitation).
  6. 16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics: co-organizer of minisymposia entitled “Mathematics and algorithms for predictive digital twins (DT)” and “Performance-portable algorithms for unstructured mesh applications”.
  7. Co-organizer of workshop entitled “Mathematical and Statistical Foundations of Digital Twins”, to be held at the Institute for Mathematical and Statistical Innovation (IMSI) June 26-28, 2024.
  8. European Seminar on COmputing (ESCO) 2024: co-organizer of minisymposium entitled “Advanced Computational Methods for Climate Modeling and Analysis”.
  9. 9th European Congress on Computational Methods in Applied Scientists and Engineering (ECCOMAS 2024): co-organizer of minisymposium entitled “Learning differential equations for science and engineering applications via scientific machine learning”.
  10. SIAM Conference on Uncertainty Quantification (UQ24): co-organizer of minisymposia entitled “Algorithms for Forward UQ in Climate Modeling” and “Inverse UQ and Data Assimilation in Climate Modeling”.
  11. 16th U.S. National Congress on Computational Mechanics: co-organizer of two minisymposia, entitled “Performance-portable algorithms for unstructured mesh applications” and “Computational advances in Earth system modeling”.
  12. SIAM Conference on Mathematical & Computational Issues in the Geosciences 2023: co-organizer of a minisymposium entitled “Computational aspects of ensemble design and interpretation in climate science and modelling”.
  13. X International Conference of Computational Methods for Coupled Problems in Science and Engineering (COUPLED 2023): co-organizer of two minisymposia, entitled “Advances in analysis, algorithms, and software for the coupling of conventional and data-driven models for heterogeneous multi-scale, multi-physics simulations” and “Machine learning and uncertainty quantification for coupled multi-physics, multi-scale and multi-fidelity modeling”.
  14. Organizer of workshop entitled “Computational Challenges and Emerging Tools” held at the Isaac Newton Institute (IMI) for Mathematical Sciences as part of a 6-month long program entitled “The Mathematical and Statistical Foundation of Future Data-Driven Engineering”.
  15. IACM Computational Fluids Conference (CFC) 2023: co-organizer of two minisymposia, entitled “Climate modeling through scientific computing and machine learning” and “Mathematics, algorithms and software for predictive Digital Twins (DTs) in CFD”.
  16. SIAM Conference on Computational Science and Engineering (CS&E23): co-organizer of minisymposium entitled “Advanced Computational Methods for Ice-sheet Modeling and Analysis”.
  17. World Congress on Computational Mechanics (WCCM) 2022: co-organizer of minisymposium entitled “Advanced in Rigorous and Agile Coupling of Conventional and Data-Driven Models for Heterogeneous Multi-Scale, Multi-Physics Simulations”.
  18. SIAM Mathematics of Planet Earth (MPE) 2022: organizer of minisymposium entitled “Dynamics and Computation in Atmospheric Modeling”.
  19. European Seminar on COmputing (ESCO) 2022: co-organizer of minisymposium entitled “Advanced Computational Methods for Climate Modeling and Analysis”.
  20. SIAM Conference on Uncertainty Quantification (UQ) 2022: co-organizer of minisymposium entitled “Uncertainty Quantification and Propagation in Climate Models”. 
  21. Artificial Intelligence for Earth System Predictability (AI4ESP) 2021 Worshop Series: co-organizer of breakout session entitled “Coastal dynamics, Ocean and Ice”. 
  22. Platform for Advanced Scientific Computing (PASC) 2021: co-organizer of minisymposium entitled “Developing Scientific Codes for Predictive Simulations on Massively Parallel Heterogeneous Computing Platforms”.
  23. SIAM Conference on Mathematical & Computational Issues in Geosciences 2021: co-organizer of minisymposium entitled “Ice sheet modeling to enable sea level change projections”.
  24. SIAM Conference on Computational Science & Engineering 2021: co-organizer of minisymposium entitled “Reduced Order Models and Stabilizations”.
  25. 2021 AIAA SciTech: co-organizer of workshop entitled “Data-Driven Modeling for Complex Fluid Physics”. 
  26. SIAM Annual Meeting 2020: co-organizer of minisymposium entitled “Projection-based model order reduction for partial differential equations”.
  27. European Seminar on COmputing (ESCO) 2020: co-organizer of minisymposium entitled “Computational Methodologies for Next-Generation Climate Models”.
  28. Albany Users’ Meeting 2020: co-organizer.
  29. International Congress on Industrial & Applied Mathematics (ICIAM 2019): co-rganizer of minisymposium entitled “New Developments in Computational Modeling of Cryosphere Systems“.
  30. SIAM Conference on Computational Science & Engineering (CSE19): co-rganizer of minisymposium entitled “Theoretical and computational advancements in ice-sheet modeling”.
  31. 13th World Congress on Computational Mechanics (WCCM18): co-organizer of minisymposia entitled “Concurrent multiscale modeling in solids and structures: coupling methods from micro to macro scales” and “Geomechanics of Land and Sea Ice”.
  32. 6th European Seminar on COmputing (ESCO 2018): co-organizer of minisymposium entitled “Computational Methodologies for Next-Generation Climate Models”.
  33. SIAM Conference on Mathematical and Computational Issues in the Geosciences (GS17): member of organizing committee, co-organizer of minisymposium entitled “Numerical methods towards next generation ice sheet modeling”.
  34. IACM Finite Elements in Flow (FEF) Problems Conference: co-organizer of minisymposium entitled “Climate modelling with FEM”.
  35. SIAM Conference on Computational Science & Engineering (CSE17): co-organizer of minisymposium entitled “Theoretical and Computational Advancements in Ice Sheet Modeling”.
  36. Albany Users’ Meeting 2017: co-organizer.
  37. SIAM Conference on Mathematics of Planet Earth (MPE16): co-organizer of minisymposium entitled “Mathematical and computational aspects of ice sheet modeling”.
  38. SIAM Conference on Uncertainty Quantification (UQ16): co-organizer of minisymposia entitled “Reduced order modelling for UQ PDEs problems: optimization, control, data assimilation” and “Uncertainty Quantification for Climate Modeling”.
  39. International Congress on Industrial and Applied Mathematics (ICIAM) 2015: co-organizer of minisymposium entitled “Computational Methods in Ice Sheet Modeling for Large Scale Next Generation Climate Simulations”.
  40. International Conference on Computational Sciences (ICCS) 2015: co-organizer of minisymposium entitled “Numerical and computational developments to advance multi-scale Earth System Models”.
  41. SIAM Conference on Computational Science & Engineering (CSE15): co-organizer of minisymposium entitled “Advances in large-scale forward and inverse ice sheet modelling”.

Other Service

  • Alumni Interviewer for Undergraduate Admissions at the University of Pennsylvania College of Arts & Sciences (2018-present).
  • Opponent in Ph.D. dissertation defense of Cheng Gong, Department of Information Technology, Uppsala University, Uppsala, Sweden (Oct. 18, 2019).
  • Ph.D. dissertation defense committee member for Giulia Sambataro (University of Bordeaux/INRIA) and Joshua Barnett (Stanford University).

 

 Research Advising & Mentoring

  • Alejandro Diaz, S. Scott Fellow, Machine Intelligence and Visualization Department, Sandia National Laboratories, Albuquerque, NM (07/2024-present)
  • Arjun Vijaywargsiya, Graduate Technical Intern (from University of Notre Dame), Computational Mathematics Department, Sandia National Laboratories, Albuquerque, NM (05/2024-present) [co-mentor: Anthony Gruber].
  • Ian Moore, Graduate Technical Intern (from Virginia Tech), Quantitative Modeling & Software Engineering Department, Sandia National Laboratories, Livermore, CA (05/2024-present).
  • Rafael Calleros Delgato, Sandia Visiting Student (from New Mexico State University), Sandia National Laboratories, Livermore, CA (05/2024-present) [co-mentors: Jerry Watkins, Max Carlson].
  • Elyce Bayat, Postdoctoral Fellow, Climate Systems Department, Sandia National Laboratories, Albuquerque, NM (01/2024-present).
  • Jinny Chung, Peter Krenek, Siqi Ma, Stanford University CME 218 Applied Data Science Project (09/2023-12/2023).
  • Chris Wentland, Postdoctoral Fellow, Quantitative Modeling & Analysis Department, Sandia National Laboratories, Livermore, CA (02/2023-present).
  • Anthony Gruber, John von Neumann Postdoctoral Fellow, Computational Mathematics Department, Sandia National Laboratories, Albuquerque, NM (09/2022-09/2024) [co-mentors: Nat Trask, Pavel Bochev].
  • Joshua Barnett, Graduate Technical Intern (from Stanford University), Quantitative Modeling & Analysis Department, Sandia National Laboratories, Livermore, CA (06/2022-03/2024).
  • Amy De Castro, Graduate Technical Intern (from Clemson University), Computational Mathematics Department, Sandia National Laboratories, Albuquerque, NM (11/2021-present) [co-mentors: Pavel Bochev, Paul Kuberry].
  • Hunter Brown, Postdoctoral Fellow, Atmospheric Sciences Department, Sandia National Laboratories, Albuquerque, NM USA (10/2021-present) [co-mentor: Benj Wagman].
  • Max Carlson, Graduate Technical Intern (from University of Utah) and Postdoctoral Fellow, Quantitative Modeling & Analysis Department, Sandia National Laboratories, Livermore, CA, USA (05/2020-08/2022 and 08/2022-present, respectively) [co-mentor: Jerry Watkins].
  • Graham Harper, Postdoctoral Fellow, Computational Mathematics Department, Sandia National Laboratories, Albuquerque, NM (10/2021-09/2023).
  • Daria Koliesnikova, Postdoctoral Fellow, Mechanics of Materials Department, Sandia National Laboratories, Livermore, CA (05/2022-08/2023) [co-mentor: Alejandro Mota].
  • Will Snyder, Graduate Technical Intern (from Virginia Tech), Quantitative Modeling & Analysis Department, Sandia National Laboratories, Livermore, CA (05/2023-08/2023).
  • Yuki Shimizu, Postdoctoral Fellow, Extreme Scale Data Science & Analytics Department, Sandia National Laboratories, Livermore, CA, USA (08/2019-07/2022).
  • Chad Sockwell, Postdoctoral Fellow, Computational Mathematics Department, Sandia National Laboratories, Albuquerque, NM (10/2021-01/2022) [co-mentor: Pavel Bochev].
  • Jonathan Hoy, Graduate Technical Intern (from University of Southern California) Quantitative Modeling & Analysis Department, Sandia National Laboratories, Livermore, CA USA (06/2021-08/2021).
  • Carolyn Kao, Institute for Computational and Mathematical Engineering (ICME) Xplore Program Project at Stanford University (03/2021-06/2021) [co-mentor: Jerry Watkins].
  • Kookjin Lee, Postdoctoral Fellow, Extreme Scale Data Science & Analytics Department, Sandia National Laboratories, Livermore, CA, USA (08/2019-03/2021) [co-mentor: Jaideep Ray].
  • Eric Parish, John von Neumann Postdoctoral Fellow, Extreme Scale Data Science & Analytics Department, Sandia National Laboratories, Livermore, CA, USA (08/2019-06/2020) [co-mentor: Jaideep Ray].
  • Kyle Shan, Institute for Computational and Mathematical Engineering (ICME) Xplore Program Project at Stanford University (01/2020-03/2020) [co-mentor: Jerry Watkins].
  • Zhiheng Wang, Graduate Technical Intern (from University of Southern California), Reacting Flow Research Department, Sandia National Laboratories, Livermore, CA, USA (06/2018-08/2018) [co-mentor: Bert Debusschere].
  • Xiaoshu Zeng, Graduate Technical Intern (from University of Southern California), Reacting Flow Research Department, Sandia National Laboratories, Livermore, CA, USA (06/2018-08/2018) [co-mentor: Bert Debusschere].
  • Greg Phlipot, Graduate Technical Intern (from California Institute of Technology), Mechanics of Materials Department, Sandia National Laboratories, Livermore, CA, USA (05/2018-08/2018) [co-mentor: Alejandro Mota].
  • Jerry Watkins, Graduate Technical Intern (from Stanford University) and Postdoctoral Fellow, Extreme Scale Data Science & Analytics Department, Sandia National Laboratories, Livermore, CA, USA (06/2016-01/2018 and 01/2018-01/2019, respectively).
  • Payton Lindsay, Postdoctoral Fellow, Extreme Scale Data Science & Analytics Department, Sandia National Laboratories, Livermore, CA, USA (09/2017-04/2018) [co-mentor: Kevin Carlberg].
  • Danielle Maddix, Graduate Technical Intern (from Stanford University), Extreme Scale Data Science & Analytics Department, Sandia National Laboratories, Livermore, CA, USA (06/2017-09/2017) [co-mentor: Kevin Carlberg].
  • Syuzanna Sargsyan, Graduate Technical Intern (from University of Washington), Quantitative Modeling & Analysis Department, Sandia National Laboratories, Livermore, CA, USA (06/2015-09/2015) [co-mentor: Kevin Carlberg].
  • Jeffrey Fike, Graduate Technical Intern (from Stanford University) and Postdoctoral Fellow, Component Science & Mechanics Department, Sandia National Laboratories, Albuquerque, NM, USA (06/2013-08/2013 and 04/2014-01/2015, respectively) [co-mentor: Matt Brake].