I am excited to develop artificial 3D perception systems at Facebook Reality Labs. Surreal, my team at Facebook Reality Labs, is growing and we have open roles for Research Scientists, Research Engineers and Software Engineers. We are focused on formulating a new generation of end-to-end real-time 3D scene understanding systems working across novel mobile sensor design, sensor fusion, state estimation, computer vision, large-scale reconstruction and localization, as well as large-scale machine learning, inference and optimization.
In spring 2017, I defended my PhD thesis on Nonparametric Directional Perception. My advisers at MIT within the CS and AI Laboratory (CSAIL) were John W. Fisher III and John Leonard. On my way to MIT, I graduated from the Technische Universität München (TUM) with a Diplom and the Georgia Institute of Technology with a M.Sc.
My research interests in AI and robotics are in 3D perception [1, 3, 4, 8, 9, 10, 11, 12, 13], modeling (directional data [1, 2, 11, 13] and Bayesian nonparametrics [5, 7, 11, 13]), and inference (sampling [1, 2, 4, 13], optimization [6, 7], low-variance asymptotics , and global search ).
Nonparmetric Directional Perception captures and uses regularities of man-made environments revealed in their surface normal distribution.
Directional Stata Center World segmentation regularizes 3D surfel reconstructions and makes camera tracking more efficient.
My interest in robotics and perceiving systems originates from age 15, when I got my first micro-processor from my father as a present. Since then I have built seven robots (Plexa, Plicro, Roboking2005, Ca3505, Kno0Bot, Kno2Bot, Holomove) from scratch and worked in multiple teams on robotics related projects (KUKAyouBot, rEIzor).