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@LS-Lab
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nrfulton/README.md

Hi, I'm Nathan Fulton!

Professional Bio

I am a Senior Applied Scientist at Amazon Web Services where I work on CodeWhisperer, an ML-powered coding companion.

I earned a Ph.D. from Carnegie Mellon University's Computer Science Department, where I was a member of André Platzer's Logical Systems Lab and a core developer of the KeYmaera X theorem prover for hybrid systems. KeYmaera X demonstrates how formal methods techniques can improve the safety and trustworthiness of autonomous planes, magnetic control systems, and embedded devices.

Prior to joining Amazon, I was a Research Staff Member in MIT-IBM AI Lab, where I worked on theory and tooling for building safe autonomous systems. While at MIT-IBM, I used hybrid systems verification tooling to build verifiable safety guarantees for reinforcement learning algorithms. and collaborated with researchers at MIT and IBM on theory and tooling for other types of neural-symbolic systems.

Pinned

  1. LS-Lab/KeYmaeraX-release LS-Lab/KeYmaeraX-release Public

    KeYmaera X: An aXiomatic Tactical Theorem Prover for Hybrid Systems (release)

    Scala 72 36

  2. IBM/vsrl-framework IBM/vsrl-framework Public

    The Verifiably Safe Reinforcement Learning Framework

    Python 53 13

  3. LS-Lab/KeYmaeraX-projects LS-Lab/KeYmaeraX-projects Public

    Projects, models, and proofs in KeYmaera X

    Shell 5 8

  4. IBM/FormalML IBM/FormalML Public

    Formalization of Machine Learning Theory with Applications to Program Synthesis

    Coq 62 17

  5. scuba-release scuba-release Public

    Formal verification of a SCUBA ascent protocol.

    1 1