Tianqi Wei
Associate Professor
Zhuhai, Guangdong Province, China
Summary
👤
Senior🎓
Top SchoolTianqi Wei is an Associate Professor at Sun Yat-sen University with nine years of experience at the intersection of robot learning and computational neuroscience. Trained with a PhD from the University of Edinburgh, he applies cognitive principles to design machine learning models—such as Latent Force Models and Hidden semi-Markov Models—for one-shot human motion learning in robots. His postdoctoral and research roles in the UK sharpened a research-to-application mindset, bridging theoretical neuroscience and practical robot learning. Based in Zhuhai, he combines academic leadership with hands-on model development and has a background in mechatronics that grounds his work in real-world robotic systems. An interesting facet of his profile is the consistent thematic focus on biologically inspired algorithms across both publications and code, signaling a long-term commitment to neuro-inspired robot intelligence.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Robotics, Computational Neurology, Robot Learning, Artificial Intelligence, Doctor of Philosophy (PhD), Robotics, Computational Neurology, Robot Learning, Artificial Intelligence at The University of EdinburghBachelor's degree, Mechatronical Engineering, Bachelor's degree, Mechatronical Engineering at Beijing Institute of Technology
English, Chinese
Github Skills (19)
markov5
hidden4
hidden-markov-model4
stochastic-processes3
information-theory3
agile3
ros3
robotics3
gesture2
reinforcement-learning2
speech2
docker1
hardware1
distributed-computing1
ras1
Programming languages (6)
Github contributions (5)
InsectRobotics/DynamicSynapseSimplifiedPublic
Jul 2018 - Apr 2019
Contributions:6 commits, 3 pushes, 1 branch in 8 months
InsectRobotics/DynamicRoutingPublish
Feb 2023 - Apr 2024
Contributions:4 pushes, 1 branch in 1 year 1 month
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