Top Scientists in AI & Comp Sci in North America (2026)

Unlike broad directories, this selection is curated for ML and LLM relevance, prioritizing candidates with demonstrable work in machine learning, LLM development, or applied research. We filter by recent projects, public models, code contributions, and role relevance rather than listing all faculty or students. The result is a targeted roster for practical outreach or collaboration.

This list is most useful for hiring managers, team leads, founders, and research collaborators seeking professionals in ML or LLMs across North America. It helps teams find candidates with specific technical experience rather than browsing unfocused academic profiles. It also aids partners looking for domain-specific expertise in NLP, vision, or foundational models.

Selection criteria include geographic location in North America, primary background in AI or computer science, and demonstrable work on machine learning or large language models such as publications, model releases, open-source contributions, or relevant industry roles. Filters also consider seniority, recent activity, and domain focus to ensure practical match quality.

Many listed scientists specialize in particular ML/LLM domains like natural language processing, speech, computer vision, or foundation model research, and the listing highlights those focus areas where available. Geographic concentration (for example U.S. hubs or Canadian research centers) and application domain are surfaced to help narrow outreach and collaboration decisions.