Summary
Thommen Karimpanal is a Lecturer and reinforcement learning researcher with 11 years of experience bridging academic research and applied AI across robotics, evolutionary computation, and multi-agent systems. He holds a PhD in Reinforcement Learning from SUTD and has held postdoctoral and research fellow roles at Deakin University’s Applied Artificial Intelligence Institute, including a visiting stint in Richard Sutton’s RLAI lab. His work focuses on emergent behavior and artificial life, with hands-on experience building micro-robotics platforms (EvoBots) and exploring genetic programming for evolving swarm behaviors. Comfortable moving between theory and engineering, he previously contributed to autonomous navigation projects and industrial tool engineering at Tata Motors, giving him uncommon practical grounding for deploying ML in physical systems. Based in Geelong, Australia, he combines deep technical rigor with a curiosity for how simple learning rules produce complex collective behavior.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Reinforcement Learning and Artificial Intelligence, 4.5/5, Doctor of Philosophy - PhD, Reinforcement Learning and Artificial Intelligence, 4.5/5 at Singapore University of Technology and Design (SUTD)
Bachelor of Technology - BTech, Mechanical Engineering, 8.05/10, Bachelor of Technology - BTech, Mechanical Engineering, 8.05/10 at Dr B R Ambedkar National Institute of Technology, Jalandhar
Master of Science, Mechatronics, Robotics, and Automation Engineering, 4.25/5, Master of Science, Mechatronics, Robotics, and Automation Engineering, 4.25/5 at National University of Singapore
English, Hindi, Malayalam