Curriculum Vitae

PhD, Computer Science (Numerical Analysis / Scientific Computing),  with Certificate of Graduate Specialization in Computational Science and Engineering, 2004.  University of Illinois at Urbana-Champaign, Urbana, IL.  Thesis: Periodic Solutions of Chaotic Partial Differential Equations with Symmetries.  Co-Advisors of thesis research: Michael T. Heath, Robert D. Moser.

BA, Mathematics, 1997.  Rutgers University, New Brunswick, NJ.

BBA, Computer Information Systems, 1993.  University of Puerto Rico, Rı́o Piedras, PR.

2022 - present   Affiliate, Institute for Advanced Computational Science (IACS), Stony Brook University, Stony Brook, NY.

2020 - 2025         Computational Scientist, Computing and Data Sciences Directorate (formerly Computational Science Initiative).  Brookhaven National Laboratory, Upton, NY.

2006 - 2020         Research Staff Member, Mathematical Sciences Department.  IBM T. J. Watson Research Center, Yorktown Heights, NY.

2005 - 2006         Postdoctoral Fellow, Computational Research Division.  Lawrence Berkeley National Laboratory, Berkeley, CA.

2004 - 2005         Postdoctoral Research Associate in Computational Science and Engineering.  University of Illinois at Urbana-Champaign, Urbana, IL.

1999 - 2004         Research Assistant in Computational Science and Engineering.  University of Illinois at Urbana-Champaign, Urbana, IL.

2001, Summer    Graduate Student Intern, Computational Science Division.  Sandia National Laboratory, Albuquerque, NM.

1998, Fall               Teaching Assistant, Computer Science Department.  University of Illinois at Urbana-Champaign, Urbana, IL.

1998, Summer    Givens Associate (Graduate Student Intern), Mathematics and Computer Science Division.  Argonne National Laboratory, Lemont, IL.

1997, Summer    Student Intern, Imaging Science Technology Lab.  Eastman Kodak Company, Rochester, NY.

1993 - 1997         Software Developer, Operations Technology Center.  AT&T, Somerset, NJ.

1992, Summer    Undergraduate Student Intern.  NASA Goddard Space Flight Center, Greenbelt, MD.

1990 - 1992         Software Developer, School of Law.  University of Puerto Rico, Rı́o Piedras, PR.

V Kalantzis, MS Squillante, S Ubaru, T Gokmen, CW Wu, A Gupta, H Avron, T Nowicki, M Rasch, M Onen, V López-Marrero, E Leobandung, Y Kohda, W Haensch, and L Horesh. Advances in Analog Architectures and Randomized Algorithms: Computational and Energy Efficiencies. ACM Comput. Surv. 58(14), 2026. https://doi.org/10.1145/3820882.

LC McInnes, D Arnold, P Balaprakash, M Bernhardt, F Cappello, B Cerny, D DiazGranados, A Dubey, N Etienne, R Giles, D Gómez-Zará, DW Hood, MA Leung, V López-Marrero, OB Newton, I Qualters, K Teranishi, SM Wild, G Allen, R Arthur, A Ballow, T Baylis, DE Bernholdt, D Bielich, J Cohoon, J Crampton, C Ferenbaugh, SM Fiore, T Herault, T Islam, S Jacobsohn, M Lin, C Lively, S Matsuoka, S Milojević, D Nichols, C Oehmen, S Ospina Tabares, ME Papka, K Riley, D Rouson, SK Seal, B Segundo, J Shalf, A Siegel, V Taylor, J Willenbring, L Woodley.  Report of the 2026 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science. Report ANL-26/32, 2026, https://arxiv.org/abs/2608.26519.

A Sharfuddin, F Ladeinde, Y Liu, M Atif, F Yang, V López-Marrero, M Lin, and T Zhang. Direct numerical simulations of activation and deactivation in turbulent atmospheric clouds. Physics of Fluids, 38(1), 2026. https://doi.org/10.1063/5.0301098.

V López-Marrero. Optimal transport as a tool for scientific discovery in radiation biology. Technical Report BNL-227918-2025-FORE, Brookhaven National Laboratory, https://doi.org/10.2172/2543026, 2025.

LC McInnes, D Arnold, P Balaprakash, M Bernhardt, B Cerny, A Dubey, R Giles, DW Hood, MA Leung, V López-Marrero, P Messina, OB Newton, C Oehmen, SM Wild, J Willenbring, L Woodley, T Baylis, DE Bernholdt, C Camaño, J Cohoon, C Ferenbaugh, SM Fiore, S Gesing, D Gómez-Zará, J Howison, T Islam, D Kepczynski, C Lively, H Menon, B Messer, M Ngom, U Paliath, ME Papka, I Qualters, EM Raybourn, K Riley, P Rodriguez, D Rouson, M Schwalbe, SK Seal, Ö Sürer, V Taylor, and L Wu. Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science. Report ANL-25/47, https://doi.org/10.48550/arXiv.2510.03413, 2025.

G Park, BJ Yoon, X Luo, V López-Marrero, S Yoo, and S Jha. Comparative performance evaluation of large language models for extracting molecular interactions and pathway knowledge. Journal of Computational Biology, 2025. Published Online May 19, 2025. https://doi.org/10.1089/cmb.2025.0078.

K Chopra, V Lopez-Marrero, X Dai, and D Park. Multi-scale digital twins for plants: Integrating phenotypic and molecular responses across time and space. In 2025 Workshop on Envisioning Frontiers in AI and Computing for Biological Research, https://www.orau.gov/support_files/2025Envisioning/ChopraK_BNL-Kriti_Chopra.pdf, 2025.

AAM Sharfuddin, F Ladeinde, Y Liu, F Yang, T Zhang, M Atif, M Lin, and V Lopez-Marrero. The impact of scalar forcing on cloud microphysics based on direct numerical simulations. In AIAA SCITECH 2025 Forum, 2025. https://doi.org/10.2514/6.2025-2223

V López-Marrero, PR Johnstone, G Park, and X Luo. Density estimation via measure transport: Outlook for applications in the biological sciences. Statistical Analysis and Data Mining: The ASA Data Science Journal, 17(3), 2024. https://doi.org/10.1002/sam.11687.

M Atif, V López-Marrero, T Zhang, AAM Sharfuddin, K Yu, J Yang, F Yang, F Ladeinde, Y Liu, M Lin, and L Li. Towards accelerating particle-resolved direct numerical simulation with neural operators. Statistical Analysis and Data Mining: The ASA Data Science Journal, 17(3), 2024. https://doi.org/10.1002/sam.11690.

M Atif, P Dubey, PP Aghor, V López-Marrero, T Zhang, A Sharfuddin, K Yu, F Yang, F Ladeinde, Y Liu, M Lin, and L Li. Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence. In SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, pages 41–48. IEEE, 2024. https://doi.org/10.1109/SCW63240.2024.00013.

T Zhang, L Li, V López-Marrero, M Lin, Y Liu, F Yang, K Yu, and M Atif. Emulator of PR-DNS: Accelerating dynamical fields with neural operators in particle-resolved direct numerical simulation. Journal of Advances in Modeling Earth Systems, 16(2), 2024. https://doi.org/10.1029/2023MS003898.

T Zhang, L Li, Y Liu, V López-Marrero, F Yang, M Atif, F Ladeinde, AAM Sharfuddin, and M Lin. Emulator of PR-DNS: Part II, Accelerating thermodynamics and cloud droplet fields with machine learning in particle- resolved direct numerical simulation. Authorea Preprints, 2024. https://doi.org/10.22541/essoar.172858028.85856778/v1.

V López-Marrero, M Lin, M Atif, W Xu, and Y Lin. Brookhaven National Laboratory Response to: Networking and Information Technology Research and Development Request for Information on Digital Twins Research and Development. https://www.nitrd.gov/rfi/DT/2024/89-FR-51554/Brookhaven-DTRD-RFI-2024.pdf, 2024.

X Luo, S Niyakan, P Johnstone, S McCorkle, G Park, V López-Marrero, S Yoo, ER Dougherty, X Qian, FJ Alexander, S Jha, and BJ Yoon. Pathway-based analyses of gene expression profiles at low doses of ionizing radiation. Frontiers in Bioinformatics, 4, 2024. https://www.frontiersin.org/journals/bioinformatics/articles/10.3389/fbinf.2024.1280971/full.

J Yang, M Atif, V López-Marrero, T Zhang, K Yu, M Lin, L Li, F Yang, Y Liu, AAM Sharfuddin, and F Ladeinde. Towards enabling digital twins capabilities for a cloud chamber. In SC ’23: The International Conference for High Performance Computing, Networking, Storage, and Analysis. https://sc23.supercomputing.org/proceedings/tech_poster/tech_poster_pages/rpost121.html, 2023.

V Lopez-Marrero, P Johnstone, F Alexander, BJ Yoon, X Luo, G Park, and X Qian. Density estimation via measure transport. In 2023 Conference on Data Analysis (CoDA). https://www.osti.gov/biblio/2005139, 2023.

V Lopez-Marrero and HF Hamann. Finding a contaminant source in a volume of flowing fluid. US Patent 11,726,071.  2023.

T Zhang, L Li, V Lopez-Marrero, Y Liu, F Yang, M Lin, K Yu, J Yang, M Atif, AAMSharfuddin, and F Ladeinde. Accelerating dynamical fields in particle-resolved direct numerical simulation using physics-informed neural operator. In AGU Fall Meeting Abstracts, 2023.

Y Liu, T Zhang, K Yu, V Lopez-Marrero, M Atif, M Lin, L Li, F Yang, A Sharfuddin, and F Ladeinde. Using HPC/AI-accelerated particle resolved direct numerical simulations to study microphysics-turbulence interactions in clouds. In XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG). GFZ German Research Centre for Geosciences, 2023.

G Park, BJ Yoon, X Luo, V Lopez-Marrero, P Johnstone, S Yoo, and F Alexander. Automated extraction of molecular interactions and pathway knowledge using large language model, Galactica: opportunities and challenges. In The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, pages 255–264, 2023. https://aclanthology.org/2023.bionlp-1.22.

X Luo, S McCorkle, G Park, V López-Marrero, S Yoo, ER Dougherty, X Qian, FJ Alexander, and BJ Yoon. Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pages 2366–2374. IEEE, 2022. https://ieeexplore.ieee.org/document/9995607.

Y Liu, N Urban, S Yoo, M Lin, T Zhang, X Zhou, Y Shan, C Xu, S Endo, W Lin, A Degennaro, and V Lopez-Marrero. Building an AI-enhanced modeling framework to address multiscale predictability challenges. Technical report, Artificial Intelligence for Earth System Predictability (AI4ESP). https://www.osti.gov/biblio/1769683, 2021.

V López. Numerical continuation of invariant solutions of the complex Ginzburg–Landau equation. Communications in Nonlinear Science and Numerical Simulation, 61:248–270, 2018. https://doi.org/10.1016/j.cnsns.2018.01.019.

LJ Klein, SA Bermudez, AG Schrott, M Tsukada, P Dionisi-Vici, L Kargere, F Marianno, HF Hamann, V López, and M Leona. Wireless sensor platform for cultural heritage monitoring and modeling system. Sensors, 17(9), 2017. https://doi.org/10.3390/s17091998.

V López. Simulating heat and mass transfer with limited amount of sensor data. In P Quintela, P Barral, D Gómez, FJ Pena, J Rodrı́guez, P Salgado, and ME Vázquez-Méndez, editors, Progress in Industrial Mathematics at ECMI 2016, pages 673–680, Cham, Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-63082-3_101.

H Jiang, X Deng, V Lopez, and HF Hamann. Online updating of computer model output using real-time sensor data. Technometrics, 58(4):472–482, 2016. https://doi.org/10.1080/00401706.2015.1080761.

R Das, HF Hamann, V Lopez-Marrero, A Stepanchuk, and S Yarlanki. Provisioning aggregate computational workloads and air conditioning unit configurations to optimize utility of air conditioning units and processing resources within a data center. US Patent 9,286,135.  2016.

H Jiang, X Deng, V Lopez, and H Hamann. A statistical approach to real-time updating and automatic scheduling of physical models. In International Electronic Packaging Technical Conference and Exhibition. American Society of Mechanical Engineers, 2013. https://doi.org/10.1115/IPACK2013-73042.

HF Hamann and V Lopez-Marrero. Techniques for determining physical zones of influence. US Patent 8,594,985.  2013.

HF Hamann, V Lopez-Marrero, and A Stepanchuk. Methods and techniques for creating and visualizing thermal zones. US Patent 8,229,713.  2012.

HF Hamann and V López. Data center metrology and measurement-based modeling methods. In Y Joshi and P Kumar, editors, Energy Efficient Thermal Management of Data Centers, pages 273–334. Springer US, Boston, MA, 2012. https://doi.org/10.1007/978-1-4419-7124-1_7.

V Lopez and HF Hamann. Heat transfer modeling in data centers. International Journal of Heat and Mass Transfer, 54(25-26):5306–5318, 2011. https://doi.org/10.1016/j.ijheatmasstransfer.2011.08.012.

V Lopez and HF Hamann. A numerical technique for the approximation of thermal zones. In International Electronic Packaging Technical Conference and Exhibition, pages 637–644, 2011. https://doi.org/10.1115/IPACK2011-52213. 

S Yarlanki, R Das, H Hamann, V Lopez, and A Stepanchuk. Employing thermal zones for energy optimization in data centers. In International Electronic Packaging Technical Conference and Exhibition, pages 645–652, 2011. https://doi.org/10.1115/IPACK2011-52234.

R Das, S Yarlanki, H Hamann, JO Kephart, and V Lopez. A unified approach to coordinated energy-management in data centers. In 7th International Conference on Network and Service Management, pages 1–5. IEEE, 2011. https://ieeexplore.ieee.org/abstract/document/6104025.

V López and H Hamann. Measurement-based modeling for data centers. In 12th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITHERM), pages 1–8. IEEE, 2010. https://doi.org/10.1109/ITHERM.2010.5501415.

HF Hamann, V López, and A Stepanchuk. Thermal zones for more efficient data center energy management. In 12th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITHERM), pages 1–6. IEEE, 2010. https://doi.org/10.1109/ITHERM.2010.5501332.

HF Hamann, TG van Kessel, M Iyengar, J-Y Chung, W Hirt, MA Schappert, A Claassen, JM Cook, W Min, Y Amemiya, V López, JA Lacey, and M O’Boyle. Uncovering energy-efficiency opportunities in data centers. IBM Journal of Research and Development, 53(3), 2009. https://doi.org/10.1147/JRD.2009.5429023.

V Donde, V López, B Lesieutre, A Pinar, C Yang, and J Meza. Severe multiple contingency screening in electric power systems. IEEE Transactions on Power Systems, 23(2):406–417, 2008. https://ieeexplore.ieee.org/document/4483749.

UT Mello, V Lopez, A Conn, K Scheinberg, H Zhang, M Henderson, L Xu, and SA Levin. Assisted seismic matching: Joint inversion of seismic, rock physics and basin modeling. In SEG International Exposition and Annual Meeting. SEG, 2007.

SA Levin, U Mello, V Lopez, L Xu, AR Conn, K Scheinberg, and H Zhang. Rock physics and depositional history from seismic matching–a model study. In 69th EAGE Conference and Exhibition Incorporating SPE EUROPEC 2007. European Association of Geoscientists & Engineers, 2007.

V López, P Boyland, MT Heath, and RD Moser. Relative periodic solutions of the complex Ginzburg–Landau equation. SIAM Journal on Applied Dynamical Systems, 4(4):1042–1075, 2005. https://doi.org/10.1137/040618977.

V Donde, V Lopez, B Lesieutre, A Pinar, C Yang, and J Meza. Identification of severe multiple contingencies in electric power networks. In Proceedings of the 37th Annual North American Power Symposium, 2005, pages 59–66. IEEE, 2005. https://ieeexplore.ieee.org/document/1560502.

V Lopez. Periodic solutions of chaotic partial differential equations with symmetries. PhD thesis, University of Illinois at Urbana-Champaign, 2004.

V López-Marrero. Towards Developing a Framework for Predictive Digital Twins. Invited talk. Computational Sciences Department, Princeton Plasma Physics Laboratory, Princeton, NJ, 2026.

V López-Marrero. Learning from Data via Measure Transport. Invited talk at Minisymposium: Foundational Mathematics for AI Model Correctness. SIAM Conference on Mathematics of Data Science, Atlanta, GA, 2024.

V López-Marrero. Overview of Optimal Transport Methods for Density Function Approximation. Invited talk. San Diego State University, 2024.

V López-Marrero. Overview of Optimal Transport Methods for Density Function Approximation. Invited talk. Arizona State University, 2024.

V López-Marrero. Predictive Digital Twin Framework Supported by Measure Transport Techniques. Invited talk. Virtual Human Global Summit, New York, NY, 2023.

V López-Marrero, P Johnstone, FJ Alexander et al. Density Estimation via Measure Transport. Conference Poster. Conference on Data Analysis (CoDA), 2023.

M Atif, V López-Marrero, T Zhang, L Li, F Yang, Y Liu, and M Lin. Neural Operator Models for Accelerating Particle-Resolved Direct Numerical Simulations. Conference Poster. Conference on Data Analysis (CoDA), 2023.

V López-Marrero et al. Towards Enabling Digital Twins Capabilities for a Cloud Chamber. Invited talk. PETSc User Meeting, 2023.

J Yang, M Atif, V López-Marrero et al. Towards Enabling Digital Twins Capabilities for a Cloud Chamber. Conference Poster. The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC23), 2023.

J Sun, V López-Marrero, and N Urban. Deep Neural Network Methods for Partial Differential Equations. Contributed Presentation. New York Scientific Data Summit (NYSDS), 2021.

M McKinney and V López-Marrero. Solving Inverse Problems with Physics-Informed Neural Networks. Contributed Presentation. New York Scientific Data Summit (NYSDS), 2021.

V López. Numerical Continuation of Invariant Solutions of the Complex Ginzburg-Landau Equation. Invited Talk. 18th U.S. National Congress for Theoretical and Applied Mechanics (USNCTAM), Chicago, Illinois, 2018.

V López. Numerical Continuation of Invariant Solutions of the Complex Ginzburg-Landau Equation. Foundations of Computational Mathematics (FoCM) Conference, Barcelona, Spain, 2017.

V López. Simulating Heat and Mass Transfer with Limited Amount of Sensor Data. 19th European Conference on Mathematics for Industry (ECMI), Santiago de Compostela, Spain, 2016.

V López. Simulating Heat and Mass Transfer in Buildings Equipped with Sensor Networks. Invited talk. WPI Center for Industrial Mathematics and Statistics Colloquium Series, Worcester, Massachusetts, 2014.

V López. Numerical Continuation of Invariant Solutions of PDEs with Symmetries. SIAM Conference on Applications of Dynamical Systems, Snow Bird, Utah, 2013.

V López. Simulating Heat and Mass Transfer in Buildings Equipped with Sensor Networks. Invited talk. IMA Hot Topics Workshop: Mathematical and Computational Challenges in the Control, Optimization, and Design of Energy-Efficient Buildings, University of Minnesota, Minneapolis, Minnesota, 2013.

V López. Simulating Heat Transfer and Environmental Conditions in Buildings Equipped with Sensor Networks. SIAM Conference on Computational Science and Engineering, Boston, Massachusetts, 2013.

V López, HF Hamann, H Jiang, and X Deng. Mathematical Modeling with Sensor Data. SIAM Conference on Computational Science and Engineering, Boston, Massachusetts, 2013.

V López and HF Hamann. Data Center Metrology and Related Modeling Techniques. 7th International Congress on Industrial and Applied Mathematics (ICIAM), Vancouver, Canada, 2011.

V López. Computing Invariant Solutions of Partial Differential Equations with Symmetries. Invited talk. Minnesota Center for Industrial Mathematics, University of Minnesota, Minneapolis, Minnesota, 2009.

V López, U Mello, L. Xu, A Conn, K Scheinberg, H Zhang, and S Levin. Estimation of Geological Basin Parameters from Seismic Data. SIAM Conference on Mathematical and Computational Issues in the Geosciences, Santa Fe, New Mexico, 2007.

U Mello, V López, A Conn, K Scheinberg, H Zhang, M Henderson, L Xu, and S Levin. Assisted Seismic Matching: Joint Inversion of Seismic, Rock Physics and Basin Modeling. SEG Annual Conference, San Antonio, Texas, 2007.

S Levin, U Mello, V López, L Xu, A Conn, K Scheinberg, and H Zhang. Rock Physics and Depositional History from Seismic Matching: a Model Study. EAGE Annual Conference, London, England, 2007.

V Donde, V López, B Lesieutre, A Pinar, C Yang, and J Meza. Identification of Severe Multiple Contingencies in Electric Power Networks. SIAM Conference on Parallel Processing for Scientific Computing, Seattle, Washington, 2006.

V López, P Boyland, MT Heath, and RD Moser. Relative Periodic Solutions of the Complex Ginzburg-Landau Equation. Foundations of Computational Mathematics (FoCM) Conference,  Santander, Spain, 2005.

V López, P Boyland, MT Heath, and RD Moser. Relative Time-Periodic Solutions of the Complex Ginzburg-Landau Equation. SIAM Conference on Applications of Dynamical Systems, Snow Bird, Utah, 2003.

T Gokmen, OM Onen, CW Wu, MS Squillante, MJ Rasch, TJ Nowicki, W Haensch, L Horesh, V Kalantzis, and V López-Marrero. Matrix inversion using analog resistive crossbar array hardware. Patent number 12626136, May 2026.

V López-Marrero and HF Hamann. Finding a contaminant source in a volume of flowing fluid. Patent number 11726071, August 2023.

R Das, HF Hamann, V López-Marrero, and A Stepanchuk, S. Yarlanki. Provisioning aggregate computational workloads and air conditioning unit configurations to optimize utility of air conditioning units and processing resources within a data center. Patent number 9286135, March 2016.

HF Hamann and V López-Marrero. Techniques for determining physical zones of influence. Patent number 8594985, November 2013.

HF Hamann, V López-Marrero, and A Stepanchuk. Methods and Techniques for Creating and Visualizing Thermal Zones. Patent number 8229713, July 2012.

Society for Industrial and Applied Mathematics (SIAM) Honoree for National Hispanic Heritage Month, 2023.

IBM Corporate Award: Sensor-Based Physical Analytics, 2014.

IBM Outstanding Technical Achievement Award: Measurement and Management Technologies, 2013.

IBM Corporate Environmental Innovation Award: Measurement and Management Technologies, 2009.

Fulton Watson Copp Chair in Computer Science Research Assistantship, UIUC, 2003-2004.

SURGE Fellow, UIUC, 1997-2004.

GEM Fellow, UIUC, 1997-1998.

Lawrence Corwin Memorial Mathematics Prize, Rutgers University, New Brunswick, NJ, 1997.

Honor Roll Scholarship. Covered tuition for top 5% of class at the University of Puerto Rico, 1989-1993.

Numerical solution of ordinary and partial differential equations: Spectral methods, Finite element methods, Finite volume methods, Finite difference methods

Numerical solution of systems of nonlinear algebraic equations

Numerical linear algebra

Modeling and numerical simulation of complex dynamical systems governed by partial differential equations

Inverse Problems

Computational Optimal Transport, Uncertainty quantification

Scientific machine learning (Operator learning, Physics-informed neural networks), Artificial intelligence

Programming languages: C/C++, FORTRAN, MATLAB, Python

Operating systems: Linux, UNIX

Parallel computing: MPI, POSIX Threads (pthreads)

Scientific computing environments: MATLAB, GNU Octave, OpenFOAM, NumPy, SciPy, NVIDIA Modulus

Electronic publishing: LaTeX

Fluent in English and Spanish

Affiliate, Institute for Advanced Computational Science (IACS), Stony Brook University, 2022-present.

Member, Society for Industrial and Applied Mathematics (SIAM) Education Committee, 2024-present.

Member, U.S. Department of Energy's Advanced Scientific Computing Advisory Committee (ASCAC), 2023-2025.

Proposal reviewer for U.S. Department of Energy, Office of Science, ASCR and EPSCoR Programs.

Student & Early Career Staff Mentor

• GEM Fellowship Program

• NSF Mathematical Sciences Graduate Internship (NSF MSGI)

• Sustainable Research Pathways (SRP) Program

Technical Committee Member

• The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2021, 2022, 2024)

• IEEE International Parallel & Distributed Processing Symposium (IPDPS 2024, 2025)

Organizing Committee Member

• New York Scientific Data Summit (NYSDS) 2021

Certificate of Graduate Specialization in Computational Science and Engineering (University of Illinois at Urbana-Champaign)

Programming for Python Data Science: Principles to Practice

Data-Oriented C++ in Scientific Programming