I am an HPC consultant and computational scientist working at the intersection of AI/ML, high-performance computing, and weather and climate modeling 🌎. I am passionate about adopting cutting-edge data science and computational technologies to improve our understanding of the environment. I am particularly interested in improving weather and climate forecasts using AI, deep learning, and GPU-accelerated computing.

I am currently working at the Computational and Information Systems Laboratory at the National Center for Atmospheric Research (NSF-NCAR). I have a Ph.D. in Chemical Engineering from the University of Iowa, where my thesis focused on performance analysis and optimization of weather and air quality models. Nowadays, I'm working on scaling AI/ML workflows on supercomputers using cutting-edge technologies for Earth system science, building community-driven infrastructure, and championing open science practices across the geosciences 🚀

These are some of the hats I wear:

🖥️ HPC Consultant / Computational Scientist at NSF-NCAR's Computational & Information Systems Laboratory (CISL)

🌏 Open-source contributor to Xarray, CuPy-Xarray, Zarr-python, WRF, CESM/CTSM, and Project Pythia

⚙️ Architecting distributed multi-node, multi-GPU training infrastructure on NCAR's Derecho supercomputer using PyTorch DDP/FSDP and JAX 🌀 Contributing to MILES CREDIT — a global AI weather prediction platform 📊 Building GPU-native data pipelines (NVIDIA DALI, KvikIO, GPUDirect Storage) for petabyte-scale Earth system datasets 🌱 Making open-source contributions to the Pangeo ecosystem and teaching scalable geospatial data analysis at SciPy, ESDS, and NCAR workshops

💻 I'm open to collaborating with folks working on scientific ML, HPC optimization, AI for weather/climate, or open geospatial tools — reach out! 📫 Find me on LinkedIn 💬 Ask me about AI/ML for weather and climate, optimizing AI workflows, distributed training on HPC, and scalable geospatial data workflows. 😄 Pronouns: she/her/hers