Jordan K Terry

Education

2018 - 2023 University of Maryland, College Park

PhD, Computer Science

Researched deep reinforcement learning, with an emphasis on open source standards development and applications to complex systems. Advised by Dr. John Dickerson and Dan Lathrop, recipient of the QinetiQ Fundamental Machine Learning Fellowship.

2015 - 2018 University of Maryland, College Park

Bachelor of Science, Physics

Presidential Scholarship recipient, College Park Scholar, 3x Angelo Bardasis Fellowship recipient, Departmental Honors recipient. Graduated in 3 years without transfer credits.

Employment

1/2021 - present Farama Foundation

Founder and CEO

Founder and CEO of the Farama Foundation, a nonprofit that maintains the largest open-source Reinforcement Learning libraries in the world, with 100+ million installations. Awarded projects from OpenAI and DeepMind. Tools are used by AWS, Google, Meta, Microsoft, and others.

Learn more: farama.org

8/2020 - 9/2024 Swarm Labs

Founder and CEO

Swarm Labs was a venture backed startup focused on evaluating the safety and security of AI models.

I was both the technical and business lead for the company, secured investment from technical leaders at OpenAI, Microsoft, and Google and got the company into late-stage acquisition talks with a trillion-dollar market cap company.

1/2019 - 1/2023 QinetiQ North America

Machine Learning Engineer

Led machine learning teams using deep learning for intelligence applications in embedded systems. Later served in a consulting capacity for complex AI challenges.

8/2018 - 5/2019 Recurrent Computing, Inc

Machine Learning Engineer

Early engineer at a neuromorphic computing (specialized AI chip design) startup.

8/2017 - 5/2019 University of Maryland

Machine Learning Instructor

Created and taught senior level machine learning for physicists course, semester long machine learning for physicists seminar series for faculty, led curriculum redesign and TAed for graduate deep learning course, lead TA for senior level undergraduate machine learning course.

6/2017 - 5/2018 Redhorse Corporation

Data Scientist

Served as a technical lead for data science projects, focusing on using deep learning in intelligence applications.

5/2016 - 8/2017

University of Maryland Center for Nanophysics and Advanced Materials

Undergraduate Researcher; Nanomaterials and Nano-Optics, and Quantum Materials and Devices Groups

Worked on growing novel nanomaterial crystals in chemical vapor deposition furnaces and data analysis for the characterization of quantum materials

9/2014 - 8/2015

University of Washington, Center for Experimental Nuclear Physics and Astrophysics

Intern, Gravitational and Sub-Gravitational Physics (Eöt-Wash) Group

Worked on quantum electronics for ultraprecise measurement of angles