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Bio

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Lane Lawley is a seasoned software engineer with expertise in programming, algorithms, and computer science. He has a strong background in software development, research, and academia, with experience in various industries including tech, gaming, and education. He holds a PhD in Artificial Intelligence from the University of Rochester and has published research papers in top-tier conferences.

Experience

  • Two Six Labs
    • Rochester, New York, United States
    • Senior Machine Learning Engineer
      • Jan 2024 - Present
      • Rochester, New York, United States

    • AI Researcher
      • Apr 2023 - Present

    • Postdoctoral Fellow
      • Nov 2022 - Sep 2023

      I was a postdoc in the Teachable AI Lab (TAIL) at Georgia Tech, where I worked on VAL, a task learning agent instructed through natural dialog.

  • Two Six Technologies
    • Arlington, Virginia, United States
    • Research Intern
      • May 2021 - Aug 2021
      • Arlington, Virginia, United States

      My second internship at Two Six is focused on researching and applying large autoregressive language models. One major effort is to mitigate limited context window size with intelligent, attention-driven corpus searching.

  • Two Six Labs
    • Arlington, Virginia, United States
    • Research Intern
      • May 2020 - Aug 2020
      • Arlington, Virginia, United States

      I researched graph neural networks at Two Six Labs, leading to the publication of the paper "Joint sparsity-biased variational graph autoencoders" in the Journal of Defense Modeling and Simulation.

  • Google
    • Boulder, Colorado
    • Software Engineer III
      • Jun 2015 - Jul 2017
      • Boulder, Colorado

  • Google
    • Greater New York City Area
    • Software Engineering Intern
      • May 2014 - Aug 2014
      • Greater New York City Area

      Helped create a service to insert ads server-side into live video streams. Designed and implemented a server to performance-test and profile HLS live-streaming clients. All projects implemented in Go.

  • Zynga
    • San Francisco Bay Area
    • Software Engineering Intern
      • Jun 2013 - Aug 2013
      • San Francisco Bay Area

      Worked on big data solutions including the construction and manipulation of Apache Hadoop programs, scripts for the Oozie job scheduling system, and the maintenance and management of various production clusters.

  • Zynga
    • San Francisco Bay Area
    • Software Engineering Intern
      • Jun 2012 - Aug 2012
      • San Francisco Bay Area

      Assisted in engine development and component refactoring.

    • Tech Squad Specialist
      • Oct 2010 - May 2011

      Supported five teams of high school students in the NASA RealWorld-InWorld challenge, which entailed the maintenance of their software tools and their instruction in the use of those tools.

Education

  • 2017 - 2022
    University of Rochester
    Doctor of Philosophy - PhD, Artificial Intelligence
  • 2017 - 2019
    University of Rochester
    Master of Science - MS, Computer Science
  • 2011 - 2015
    Rochester Institute of Technology
    Bachelor of Science, Computer Science
  • 2013 - 2013
    RIT Croatia

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Industry Focus. “Computer Software”

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