Adam Stewart
Postdoctoral Researcher at Technical University of Munich
Ottobrunn, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolAdam Stewart is a postdoctoral researcher at the Technical University of Munich who builds machine learning foundation models for multispectral and satellite imagery, blending Earth science domain expertise with deep learning. Creator and lead developer of the widely used TorchGeo library, he enables reproducible geospatial ML workflows and delivered the first satellite-pretrained model weights in a mainstream PyTorch library. With a PhD in Computer Science (UIUC) and a BS in Earth Systems (Cornell), he has 12 years of experience spanning research, industry internships at Microsoft and Meta, and work on large-scale HPC systems. His projects include benchmarking climate foundation models, uncertainty quantification tooling, and practical applications like mineral exploration and seafloor bathymetry. Formerly a radio astronomer, he brings a physics-rooted analytic approach to data engineering and model design. Based in Ottobrunn, Bavaria, he combines open-source stewardship with interdisciplinary collaboration to move remote sensing ML from prototypes to production-grade tooling.
12 years of coding experience
13 years of employment as a software developer
Bachelor of Science (B.S.), Science of Earth Systems, 3.94, Bachelor of Science (B.S.), Science of Earth Systems, 3.94 at Cornell UniversityUniversity of Illinois Urbana-Champaign
English, Japanese
Github Skills (154)
xgboost10
astronomy10
transient10
kubeflow10
istio10
vast10
k8s10
llm-inference10
pipeline10
kubernetes10
artificial-intelligence10
astrophysics10
tensorflow10
knative10
genai10
Programming languages (12)
Github contributions (5)
ajstewart/tkp
Jun 2015 - Jan 2020
A transients-discovery pipeline for astronomical image-based surveys
Contributions:2 PRs, 13 pushes, 6 branches in 4 years 8 months
pipelinediscoverysurveysastronomydiscovery-pipeline
askap-vast/vast-tools
Oct 2019 - Sep 2022
A collection of tools that are useful for the VAST project and for exploration of results from the VAST Pipeline.
Contributions:109 reviews, 438 commits, 9 PRs in 2 years 11 months
vastaskapradio-astronomytransient-astronomypipeline
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