I am a postdoc at the Visual Intelligence for Transportation (VITA) lab at EPFL in Switzerland where I conduct research in machine learning for self-driving cars and robots that share a common space with people. Current projects are in perception, prediction and planning and include a project that uses reinforcement learning to navigate a crowded space (Crowd-Robot Interaction, ICRA2019), human pose estimation (PifPaf, CVPR2019), new ideas for the Social Force model (STRC2019, hEART2019) and human path prediction in the context of self-driving cars.
PifPaf: Composite Fields for Human Pose Estimation.
To be presented at CVPR2019.
Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning.
To be presented at ICRA2019.
Before returning to academia, I was the Senior Data Scientist at Sidewalk Labs (Alphabet) in New York City where I focused on machine learning for urban environments. My background is in particle physics where I hold a PhD from NYU and where I worked with Kyle Cranmer on physics and statistical analyses for ATLAS at CERN. I was on the core team that discovered the Higgs boson and the first person to see the 5σ threshold crossed.