Tom Kelly
Cyber Security Lead at Rokos Capital Management
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolTom Kelly is a Cyber Security Lead based in London with eight years of hands-on experience across incident response, intrusion analysis, and security consulting at organisations including Mandiant/Google, the UK Ministry of Defence, and Deloitte. He blends deep operational expertise with software engineering skills, contributing to high-profile open-source projects from DeepMind’s MuJoCo and dm_control—work that involved core refactors, RL environment improvements, and a Unity plugin for a physics engine. Known for translating complex technical problems into reliable, auditable solutions, Tom moves comfortably between cloud, AI, and low-level simulation code. His background in physics (MPhys, University of Manchester) informs a rigorous, analytical approach to threat hunting and tooling. Colleagues describe him as a pragmatic problem-solver who still writes code to fix core components rather than just directing others to do so. He’s currently leading cyber security at Rokos Capital Management, focusing on resilient cloud and AI-era defences.
7 years of coding experience
MPhys Physics, MPhys Physics at The University of ManchesterKing Edward VI School, Southampton
Github Skills (25)
simulation10
c-language10
python10
simulator10
simulations10
machine-learning10
reinforcement-learning10
mpc10
physics10
dotnet-core10
mujoco10
csharp10
cprogramming-language10
unity3d10
artificial-intelligence9
Programming languages (3)
Github contributions (5)
google-deepmind/mujoco_mpc
Dec 2022 - Mar 2023
Real-time behaviour synthesis with MuJoCo, using Predictive Control
Role in this project:
Backend Developer
Backend DeveloperContributions:1 release, 156 reviews, 59 commits in 3 months
Contributions summary:Tom primarily contributed to the internal workings and structure of the project. They made changes to core components, refactoring code and adjusting how elements interact. The user's contributions included modifying planning components and correcting inconsistencies in the code, improving the software's functionality and reliability.
roboticsmpcpybulletsynthesismodel-predictive-control
google-deepmind/mujoco
Feb 2022 - Jan 2023
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:42 reviews, 27 commits, 1 PR in 11 months
Contributions summary:Tom's primary contribution appears to be the development of a Unity plugin for the MuJoCo physics engine. This includes the initial release and subsequent updates to the plugin, as evidenced by the documentation and code changes. The user implemented features such as the importer and context menus, enabling the use of MuJoCo models within the Unity editor. The user also addressed issues such as memory management and compatibility.
physics-enginephysicsroboticsrobotics-simulationbullet-physics
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