Haithem's research focuses on reconstructing, simulating, and generating dynamic 3D worlds, with a particular interest in the intersection of reconstruction and generative modeling. His recent work spans scalable neural scene reconstruction, real-time sensor simulation, and 3D content generation. He obtained his Ph.D. in Computer Science from Carnegie Mellon University, where he was advised by Deva Ramanan and collaborated with Argo AI and Meta Reality Labs Research. Before his PhD, he spent seven years at Palantir Technologies in product and engineering leadership roles. He holds B.S. and M.S. degrees in Computer Science from Stanford University, where he worked with Alex Aiken and Daphne Koller. For more information, please visit: https://haithemturki.com/.
Neural Net Reads the Gas Meter