Chris Gorman
Software Engineer at Massachusetts General Hospital
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolChris Gorman is a software engineer and PhD-trained researcher with 11 years of experience building AI and ML systems, currently focusing on computational pathology at Massachusetts General Hospital. He combines deep academic expertise in computational models of categorization and general AI with hands-on R&D experience creating embodied cognition and digital-human models at Soul Machines. His work spans model development, anomaly detection, containerized testing platforms, and tooling to streamline C++ model evaluation and versioning. A US citizen based in Boston, he has taught AI courses, delivered seminars on core models, and maintains selected code samples on GitHub that reflect his research-to-production mindset. Colleagues know him for turning complex cognitive science concepts into practical software infrastructure that accelerates model experimentation and deployment.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of OtagoMaster of Science (MS), Computer Science, Master of Science (MS), Computer Science at University of Massachusetts Dartmouth
Github Skills (102)
python10
pydicom10
deep-learning10
digital-pathology10
microscopy10
slide10
neural-network10
data-science10
tensorflow10
dicomweb10
self-organizing-map10
viewer10
machine-learning10
ml9
multi-gpu9
Programming languages (7)
Github contributions (5)
cgorman/tensorflow-som
Feb 2018 - Aug 2022
A multi-gpu implementation of the self-organizing map in TensorFlow
Contributions:1 review, 18 commits, 5 PRs in 4 years 6 months
gpumaptensorflowmulti-gpuorganizing
cgorman/okteto
Nov 2020 - Nov 2020
Develop your applications directly in your Kubernetes Cluster
Contributions:2 pushes in 1 day
helmdevopsk8skuberneteskubernetes-cluster
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