Carnegie Mellon University careers

*Researched physiological data monitoring from video, i.e. Heart rate estimation from facial video.
*Designed models for synthetic dataset creation with embedded bio-signals (heart rate, rPPG) using GANs on a $1M Bill and Melinda Gates Foundation (BMGF) funded project
*Created a novel meta-3D face reconstruction from video method using single image reconstructions to fuse multi-view features
*Developed the pyZFace library (python port of ZFace 3D face tracker), and the ZFace C++ static library, for metric 3D face reconstruction from video for mask sizing for a Department of Defence (DoD) funded SBIR phase-II project, resulting in a proprietary iPhone application for deployment.
*Organizer and a Data Chair for the 2nd 3DFAW-Video challenge and workshop held at ICCV 2019, in Seoul, Korea & created the 3DFAW-Video dataset and the associated ARMSE metric for evaluation
*Co-lead the Science and Localization, tele-operation's sub-teams over a semester, for the NASA funded Iris Lunar Rover mobile robot (formerly CubeRover: irislunarrover.space)