Anna Simeon
PhD Student, School of Aquatic and Fishery Sciences at University of Washington
“Kelp Forest Quant”
Anna Simeon's AI skills, scored on evidence
Nine AI capabilities, each rated 0–10 from public professional signals with the reason behind the rating.
No evidence of AI tool use in research or daily workflow; profile is purely traditional marine biology.
No evidence of prompt engineering, custom GPTs, or AI automations in any listed work.
No evidence of app prototyping or AI coding tools; role is field/lab-based fisheries science.
No evidence of LLM API use in scripts or tools; statistical modeling mentioned is traditional (CKMR).
No evidence of multi-step AI agents, RAG, or tool calling in any professional context.
No evidence of shipping AI features to users; research outputs are academic, not product.
No evidence of fine-tuning, embeddings, or customizing models; genetics work is not AI/ML.
No evidence of vector DBs, GPU optimization, or LLMOps; infrastructure is wet-lab/computational bio.
No evidence of AI/ML research; publications and fellowships are in population genetics and fisheries.
Where Anna has worked
- —School of Aquatic and Fishery Sciences at the University of Washington
- —international pacific halibut commission
- —*************
See everyone else we have scored at International Pacific Halibut Commission.
Career profile
Roles held
Industries
Pedigree
Links
Similar AI profiles
Search the full database of AI-scored professionals by role, skill, seniority and city. Free, every filter open.
Search AI talent →This page is built from public professional signals and an automated reading of them — it is a starting point, not a verdict on anyone's ability, and it may be out of date or wrong. Is this you? Claim or correct this profile, or ask for it to be removed — removals are honoured. Want your own? Score your AI skills free.