Foster Powers
PhD Student in Microbiology, Immunology, and Cancer Biology at the University of Minnesota
“Wet Lab Warrior”
Foster Powers'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; biomedical PhD with no posts, skills, or activity suggesting ChatGPT/Claude adoption.
Zero signal of reusable prompts, custom GPTs, or AI workflows in your profile or web results.
No coding activity, repos, or AI prototyping tools visible; purely wet-lab and computational biology.
No API usage, scripts, or internal tools; profile is entirely academic biomedical research.
No multi-step automations, tool calling, or RAG; your work is bench science, not AI orchestration.
No shipped AI features, guardrails, or AI UX; you publish immunology papers, not products.
No fine-tuning, embeddings, or open-source model customization; your models are murine, not machine learning.
No vector DBs, GPU optimization, or LLMOps; your infrastructure is a BSL-2 lab, not a cloud cluster.
AI research means novel architectures, RLHF, benchmarks; your publications are in T-cell biology, not ML.
Where Foster has worked
See everyone else we have scored at University Of Minnesota, Dana Farber Cancer Institute.
Career profile
Roles held
Industries
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signals and an automated reading of them — it is a starting point, not a verdict on anyone's ability, and it may be out of date or wrong.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.