Cambridge, Massachusetts, United States
I’m currently a PhD student at MIT’s Decode Lab, where I study how AI can interpret sketches, automate CAD generations, and collaborate with users through UI learning and multimodal interaction. Previously at Stanford, I worked on robotics and AI systems, including the design of a surgical robot, reinforcement learning for robotic manipulation, deep learning pipelines for CAD generation, and real-time neural decoding models. I hold a BSc in Mathematics and Physics from École Polytechnique (summa cum laude), where I served as President of the Robotics Club and led multiple student organizations. I’ve also completed internships at Google and CNRS. My mission is to reimagine how humans and machines co-create, making complex design tasks faster, more intuitive, and more collaborative. Always open to conversations around AI-assisted design, generative modeling, and intelligent interfaces.
Conducting research at the Decode Lab on AI for multimodal CAD generation, developing large-scale datasets and models for parametric design generation, UI action learning, and precision-controlled optimization.
- 2.155: AI and ML for Engineering Design - Organized weekly office hours and mentored more than 80 students in their final projects
- MATH 104: Applied Matrix Theory - Organized weekly office hours and review sessions for more than 100 students
- Autonomous robotic surgery at the CHARM Lab
- Designing a neurosurgery robot at the CHARM Lab