Bio
Hello! My name is Hui-Ting.
I am currently completing a robotics project at Le Fresnoy - Studio national des arts contemporains. (I will be available for full-time CDI opportunities starting July 2026 !)
I am a robotics engineer and digital artist with five years of applied R&D and industry experience across MediaTek, PicCollage, and CNRS, bridging humanoid locomotion, embedded ML, and human-centric design.
My work revolves around taking ML research out of the lab and into the real world. I specialize in:
Architecting the full-stack data pipelines and embedded software (C++ and ROS) to bridge the sim-to-real gap, porting deep learning models from simulation (MuJoCo) to physical hardware (HRP-4 humanoid robot).
Developing on-device speech recognition, text-to-image generation, and gaze/gesture interaction systems for unstructured environments (out of the lab).
Translating non-technical stakeholder requirements (artists, designers, creative technologists) into production-ready architectures, deploying machine learning research (3D motion-generation, RL-based control) into real-time interactive systems.
Work Experience
Robotics Research Engineer
Le Fresnoy - Studio national des arts contemporains
Post-PhD, fixed term (contractual R&D project toward a public art exhibition)
2026 – present
Tourcoing, France (Hybrid)
Research Engineer, HCI and Robotics
University Paris 8
2021 – 2025
Paris, France
Robotics Research Engineer (Visiting PhD)
CNRS - LIRMM · Interactive Digital Humans (IDH) Team
2023 – 2024
Montpellier, France
Software Engineer
MediaTek - R&D · Acoustic and Speech Processing (ASP) Team
2020 – 2021
Hsinchu, Taiwan
Software Developer Intern
PicCollage - R&D · Machine Learning Team
2017
Taipei, Taiwan
Press
Timeline
Nov 2021 – Dec 2025
Ph.D. in Aesthetics and Technologies of the Arts
University of Paris 8 · INREV Lab
I worked with Prof. Chu-Yin CHEN and Prof. Dr. Abderrahmane Kheddar on Human-Computer Interaction (HCI) and Robotics. My research focuses on translating humanoid robot autonomy from simulation to the real world through motion synchronization, and building real-time autonomous systems designed to interact smoothly with physical environments.
Sep 2017 – Feb 2020
M.S. in Electrical Engineering
National Tsing Hua University · BIIC Lab
I worked with Prof. Chi-Chun Lee on Behavioral Signal Processing and Machine Learning. We focus on acoustic signal processing and understanding. Specialize in modeling self-reported pain intensity using multimodal paralinguistic cues, improving the reliability of automated assessment of self-reported pain.
Sep 2013 – Juin 2017
B.S. in Electrical Engineering and Computer Science (EECS)
National Tsing Hua University