Mark Zolotas
Research Scientist at Toyota Research Institute
United States
Summary
👤
Senior🎓
Top SchoolMark Zolotas is a research manager and senior scientist at Toyota Research Institute with a decade of experience building robotics, machine learning, and extended reality systems that enable intuitive human-robot interaction. He combines hands-on software engineering in C/C++, Python, Java and C# with ROS, TensorFlow/PyTorch, and Linux deployment experience to move ideas from lab prototypes to real-world research. His PhD from Imperial College London focused on modeling human intentions and using augmented reality to explain robot behavior—an uncommon blend of perception, HRI, and explainability. He has taught machine learning at the university level and contributed across academia and industry, from multi-agent simulations to production-focused tooling for financial systems. Colleagues describe him as an open-minded, delivery-oriented researcher who bridges rigorous experimentation with practical system engineering.
10 years of coding experience
3 years of employment as a software developer
Master of Engineering (MEng), Electronic and Information Engineering, First Class Honours, Master of Engineering (MEng), Electronic and Information Engineering, First Class Honours at Imperial College London
English, Greek, French
Github Skills (30)
ros8
robotics8
pattern-recognition7
robot7
bayesian-methods6
pattern6
reactive6
sensor5
rover5
matlab5
journal5
simulation5
academia4
complement4
machine-learning4
Programming languages (5)
Github contributions (5)
mazrk7/robot_collision_checking
Nov 2022 - Jan 2025
A ROS interface to FCL collision checking
Contributions:68 pushes, 7 branches in 2 years 2 months
collision-checkingroboticsfclcheckingros
mazrk7/SpinWorld
Feb 2016 - Oct 2020
Final Year Project for MEng at Imperial College London.
Contributions:1 PR, 51 pushes, 1 branch in 4 years 8 months
reactimperial-collegenodejsfinal-yearimperial
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