Mohamad H. Danesh
I’m a PhD student at McGill University, advised by Prof. Hsiu-Chin Lin, focusing on safe robot learning. Before McGill, I worked as a research engineer at Ivy, where we developed tools to integrate popular ML frameworks like TensorFlow, PyTorch, JAX, and NumPy, enabling complex computational graphs to run seamlessly on various devices. Earlier, I spent a year as a visiting researcher at the AdaComp Lab at the National University of Singapore, collaborating with Prof. Panpan Cai and Prof. David Hsu on robust planning for self-driving vehicles under uncertainty. I also hold a master’s degree from Oregon State University, where I worked with Prof. Alan Fern on explainable and robust RL.
My research primarily focuses on robot learning, from improving safety to generalization. Currently, I am exploring how RL and world models can be effectively applied in robotics.
I am open to collaborations. Feel free to reach out via email for projects or research opportunities. You can also visit my get in touch page.