Martin Okafor , MS
AI Recognition Reviewer
Joined Clinical App Report on
Martin evaluates the photo-AI pipeline of every app on the docket — model behavior on portion estimation, ingredient decomposition, depth-from-single-image inference, and disambiguation of similar-looking foods. His master's work at Carnegie Mellon was on benchmarking computer vision models for fine-grained food recognition, and he spent five years at a consumer health-tech publication evaluating photo-based dietary tools before joining CAR.
Areas of expertise
- Computer vision for food recognition
- Photo-AI benchmarking
- Depth-from-single-image inference
- Portion estimation accuracy
Education
- MS, Computer Vision — Carnegie Mellon University
- BS, Electrical Engineering and Computer Sciences — University of California, Berkeley
Affiliations
- AI Recognition Reviewer — Clinical App Report