Adam Pikielny is a research scientist-engineer with 11 years of experience specializing in computational photography, computer vision, and graphics, currently building advanced imaging tools in Marc Levoy’s group at Adobe. He combines a strong academic foundation—a 4.0 BS in Computer Science from Brown—with hands-on product impact, from Adobe Camera Raw reflection removal to Project Indigo and After Effects’ first ML-based effect. His background spans research on deepfake detection and video depth estimation, practical ML pipeline engineering, and shipping developer tooling across Adobe’s video apps. Outside core engineering, he brings a photographer’s eye to vision problems (Vision ∩ Graphics ∩ Photography), which informs both algorithm design and evaluation. Early roles in video editing and conservation work hint at a pragmatic, detail-oriented approach and a willingness to tackle fieldwork and user-facing challenges. Based in Providence, RI, he bridges research rigor and production delivery to move imaging research into real-world creative tools.
11 years of coding experience
2 years of employment as a software developer
High School Diploma, High School Diploma at Hanover High School
Bachelor of Science - BS, Computer Science, 4.0, Bachelor of Science - BS, Computer Science, 4.0 at Brown University
Project page for our Media Forensics CVPR Workshop 2020 paper: Towards Untrusted Social Video Verification to Combat Deepfakes via Face Geometry Consistency, by Tursman et al.
Contributions:373 pushes in 9 months
combatdeepfakesworkshopcomputer-visionforensics
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