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

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

Founder and CEO of the Farama Foundation, a nonprofit that maintains the largest open-source Reinforcement Learning libraries in the world, with 250+ million installations. Awarded projects from OpenAI and DeepMind. Tools are used by AWS, Google, Meta, Microsoft, and others.

Swarm Labs was a venture-backed startup focused on evaluating the safety and security of deployed AI systems through novel AI-assisted vulnerability search tools.

Served as both technical and business lead, secured investment from venture capitalists and technical leadership at OpenAI, Microsoft, HuggingFace and Google. Company entered into late-stage acquisition talks with a trillion-dollar market cap company, represented by an investment bank.

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

Early engineer at a neuromorphic computing startup focused on specialized AI chip design.

Created and taught senior-level machine learning for physicists course and semester-long faculty seminar series. Led curriculum redesign and served as lead TA for graduate deep learning course and senior-level undergraduate machine learning course.

Technical lead for deep learning in intelligence applications.

Chemical vapor deposition synthesis of novel nanomaterials and characterization of quantum materials. Nanomaterials and Nano-Optics, and Quantum Materials and Devices Groups.

Quantum electronics for ultraprecise (picoradian) angular measurement for gravitational physics devices. Eöt-Wash group.