Research and Engineering Portfolio

Taylor Neil Archibald, PhD

Machine learning researcher and engineer specializing in document understanding, handwriting recognition, OCR, vision-language methods, and robust AI for historical records.

Research

Document understanding under real-world variance

Historical Documents

Methods for processing old, degraded, handwritten, and inconsistently structured records.

OCR and HWR

Sequence modeling, layout-aware processing, recognition evaluation, and error analysis.

Robust AI

Model behavior across variance, weak supervision, representation learning, and deployment constraints.

Projects

Selected technical artifacts

Simple HWR

Handwriting recognition codebase using neural sequence modeling for offline recognition.

Repository

Census Forms

Document classification work related to semantic segmentation masks and embeddings for fine-grained form recognition.

Repository

Publication Record

Research publications and citation profile for document AI and related machine learning work.

Google Scholar