Curriculum Vitae

Research software engineering at the National Center for Supercomputing Applications (NCSA), with a previous life in atmospheric science.

Experience

Senior Research Software Engineer, National Center for Supercomputing Applications (NCSA), University of Illinois Urbana-Champaign (UIUC). Nov 2022 to present
Research Programmer, NCSA, UIUC. Mar 2018 to Nov 2022
Research Application Developer, Technology Services, UIUC. Apr 2017 to Mar 2018
Research Assistant, UIUC, ISAM terrestrial carbon and nitrogen modeling. Aug 2014 to Jun 2015
Research Assistant, University of Science and Technology of China, boundary layer turbulence, the Weather Research and Forecasting Model, and flux observation. Sep 2011 to May 2014

M.S. Bioenergy (Illinois Professional Science Master's), University of Illinois Urbana-Champaign, 2016
M.S. Atmospheric Physics and Atmospheric Environment, University of Science and Technology of China, 2014
B.S. Atmospheric Science, University of Science and Technology of China, 2011

Journal papers

Nofal, O. M., Rosenheim, N., Kameshwar, S., Patil, J., Zhou, X., van de Lindt, J. W., et al., & Wang, C. (2025). Methodology for Interdependent Population, Building, and Infrastructure Posthazard Functionality Assessment for Communities. Journal of Structural Engineering, 151(5), 04025048.
Nofal, O., Rosenheim, N., Kameshwar, S., Patil, J., Zhou, X., van de Lindt, J. W., et al., Wang, C., & Jeon, H. (2024). Community level post hazard functionality methodology for buildings exposed to floods. Computer-Aided Civil and Infrastructure Engineering, 39(8), 1099 to 1122.
Donelson, C., Sutter, C., Pham, G. V., Narang, K., Wang, C., & Yun, J. T. (2021). Using a Machine Learning Methodology to Analyze Reddit Posts regarding Child Feeding Information. Journal of Child and Family Studies, 30(5), 1290 to 1298.
Yuan, R., Sun, J., Luo, T., Wu, X., Wang, C., & Fu, Y. (2014). Simulation study on light propagation in an anisotropic turbulence field of entrainment zone. Optics Express, 22(11), 13427 to 13437.
Yuan, R., Sun, J., Luo, T., Wu, X., Wang, C., & Lu, C. (2014). Simulation study on light propagation in an isotropic turbulence field of the mixed layer. Optics Express, 22(6), 7194 to 7209.
Wang, C., Yuan, R., Luo, T., Sun, J., Jiang, W., & Wu, X. (2013). Flux observation research on urban and suburban atmospheric boundary layers in Nanjing. Journal of University of Science and Technology of China, 43(2), 87 to 96.

Conference papers and presentations

Baroi, C., O'Brien, K., Meschewski, E., Lee, J. S., Wang, C., Taft, K., et al., & Johnson, W. (2024). Illinois Basin Direct Air Capture (DAC) Hub: A Master Planned Community. SSRN 5013245.
Lee, J. S., Navarro, C. M., Núñez-Corrales, S., Naum, K., Wang, C., Kim, Y. W., Kooper, R., van de Lindt, J. W., & Kruse, J. L. (2022). IN-CORE, Computational Platform for Community Resilience Planning. AGU Fall Meeting.
Wang, C., Marini, L., Burnette, M., Nicholson, T., Lambert, M., Kooper, R., Nguyen, H., & McHenry, K. (2022). Applications and Roadmap of the Clowder Open Source Data Management Framework. Australasian Computer Science Week (ACSW).
Lee, J. S., Navarro, C. M., Naraharisetty, V. V. G., & Wang, C. (2022). Modeling Critical Lifelines and Other Infrastructure with IN-CORE: A Hands-On Workshop. ASCE Lifelines.
Wang, C., Marini, L., Chin, C. L., Vance, N., Donelson, C., Meunier, P., & Yun, J. T. (2019). Social Media Intelligence and Learning Environment: an Open Source Framework for Social Media Data Collection, Analysis and Curation. 15th International Conference on eScience (IEEE), 252 to 261.
Lee, J. S., Navarro, C. M., Tolbert, N., Kim, Y. W., Naraharisetty, V. V. G., Wang, C., et al., & Fredricksen, M. (2019). Interdependent Networked Community Resilience Modeling Environment (IN-CORE). PEARC '19, 1 to 2.

Rising Stars Award, SGX3 (NSF Award #2231406), for advancing science gateways and HPC.
NCSA Center Directed Discretionary Research Grant (2022 to 2025), $60,000
Rockefeller Foundation, COVID-19 K-12 Playbook (2021 to 2022), $15,000

Google Project Management Professional Certificate

Languages: Python, JavaScript, Java, MATLAB, Fortran, HTML; familiar with Scala, C, PHP, R
Frameworks: React, Vue, AngularJS, Next.js, Express.js, FastAPI, Flask, scikit-learn, TensorFlow, PyTorch
AI and ML: Retrieval augmented generation (embeddings, chunking, hybrid search, reranking, evaluation), model serving and inference with ONNX and quantization, MLOps with MLflow, Weights & Biases, and model registries
DevOps and Cloud: Docker, Kubernetes, AWS, GCP
Databases: PostgreSQL, MongoDB, SQL, Qdrant, pgvector
Geospatial: QGIS, GDAL, GeoServer, OpenLayers, MapLibre
Modeling: STELLA system modeling, Weather Research and Forecasting Model
Design: Figma, InVision, Miro

English, Mandarin, Japanese (JLPT N1); working proficiency in Korean.