Summary
Jackson Petty is a Ph.D. student researcher in linguistics at NYU with 11 years of experience applying machine learning and software engineering to language and spatial data problems. He blends deep academic training in mathematics and linguistics from Yale with hands-on ML/vision work at Google, HELIX RE, Novetta, and Alert Innovation, shipping PyTorch models and production inference pipelines. His research has probed how recurrent networks acquire algebraic generalization for coreference, and he builds open-source tooling to make transduction experiments reproducible. Practical strengths include integrating cloud training, model compression for edge deployment, and automated CI/CD for model inference. Jackson also brings a strong teaching and writing background—tutoring ESL and grading advanced math—helping him communicate complex ideas clearly to diverse audiences. An intriguing detail: alongside formal research he experiments with generative sequence modeling (github bio: "autoregressing launæ"), signaling a playful curiosity about language generation.
10 years of coding experience
1 year of employment as a software developer
Sentinel High School
Advanced Arabic Immersion, Advanced Arabic Immersion at المركز الثقافي لتعليم اللغات
Doctor of Philosophy - PhD, Linguistics, Doctor of Philosophy - PhD, Linguistics at New York University
Concurrent Study in High School, Mathematics, Computer Science, English, Arabic, Concurrent Study in High School, Mathematics, Computer Science, English, Arabic at University of Montana
Bachelor of Arts - BA, Mathematics; Linguistics, Senior, Bachelor of Arts - BA, Mathematics; Linguistics, Senior at Yale University
Arabic, Spanish