Lane Lawley
Director Of Data Strategy & Analytics
City of Rochester, New York, United States
Summary
👤
Senior🎓
Top SchoolLane Lawley is a Director of Data Strategy & Analytics with 12 years of experience blending research-grade AI with production engineering. He holds a PhD in Artificial Intelligence from the University of Rochester and recently completed a postdoc at Georgia Tech's Teachable AI Lab working on dialog-driven task-learning agents. Lane’s background includes software engineering at Google and applied ML roles across industry and defense-focused labs, where he has published on graph neural methods and explored attention-driven corpus search to extend LLM context. He bridges symbolic and neural approaches to knowledge representation, turning rigorous research into practical analytics and AI products. Based in Rochester, NY, he prefers pragmatic, non-hype conversations about LLMs and emphasizes thoughtful system design over vendor pitches. An occasional open researcher, he brings both deep technical rigor and hands-on product delivery to data-driven organizations.
12 years of coding experience
6 years of employment as a software developer
Bachelor of Science Computer Science, Bachelor of Science Computer Science at Rochester Institute of TechnologyDoctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at University of RochesterRIT Croatia
English, Japanese
Github Skills (42)
transformers10
pytorch10
language-model10
python10
machine-learning10
deep-learning10
tensorflow10
natural-language-processing10
bert10
transformer10
speech-recognition10
nlp10
jax10
dynet9
seq2seq9
Programming languages (6)
Github contributions (5)
bitbanger/schemas
Jan 2019 - Aug 2022
Preliminary work on schema-based story understanding
Contributions:515 commits, 3 PRs, 169 pushes in 3 years 7 months
schema-basedunderstandingpreliminary
bitbanger/algoart
Mar 2014 - Oct 2018
Contributions:37 commits, 12 pushes in 4 years 7 months
artalgorithmicalgorithmic-art
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