David Charatan
PhD Student at Massachusetts Institute of Technology
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolDavid Charatan is a CS PhD student at MIT with a decade of software engineering and research experience spanning industry labs and academia. Advised by Vincent Sitzmann and with a recent student researcher stint at DeepMind, he focuses on cutting-edge machine learning and computer graphics research informed by practical engineering roles at Common Sense Machines and internships across Bloomberg, Onshape, and USNR. He has taught core systems and graphics courses at Brown, blending deep theoretical training with hands-on system building. Based in Cambridge, MA, he brings a rare combination of academic rigor and production experience that accelerates the translation of research prototypes into robust software.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Massachusetts Institute of TechnologySc.B. Computer Engineering, Sc.B. Computer Engineering at Brown University
English, German, French
Github Skills (48)
boostrap10
intrinsics9
gradient-descent9
dtype9
python-typing9
3d9
vuejs29
3d-reconstruction9
reimplementation9
mesh-processing8
django8
optical-flow8
rendering7
computer-graphics7
type-annotations7
Programming languages (9)
Github contributions (5)
dcharatan/pixelsplat
Dec 2023 - Dec 2025
[CVPR 2024 Oral, Best Paper Runner-Up] Code for "pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction" by David Charatan, Sizhe Lester Li, Andrea Tagliasacchi, and Vincent Sitzmann
Contributions:1 PR, 29 pushes, 1 branch in 2 years
3d3d-reconstruction
dcharatan/point2mesh-reimplementation
Nov 2020 - Dec 2020
A reimplementation of Hanocka et al.'s paper Point2Mesh: A Self-Prior for Deformable Meshes for CSCI 1470: Deep Learning at Brown University.
Contributions:89 commits, 9 pushes in 1 month
deep-learningreimplementationpoint2meshtensorflowgraphics
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