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Key opinion leaders (KOLs) & key conferences in this field #4

Description

@ds4cabs

@MatiPinto03 — KOLs and venues for AI evaluation in regulated/clinical text. (This is an emerging intersection of regulatory science + LLM evaluation, so it's lighter on single "stars" and heavier on institutions.)

Key opinion leaders

  • Percy Liang (Stanford) — HELM; rigorous, holistic LLM evaluation frameworks.
  • Nigam Shah (Stanford) — clinical/biomedical NLP and responsible deployment in healthcare.
  • Douwe KielaRAG; grounding LLM outputs in sources (core to faithfulness).
  • Hongfang Liu — long-standing clinical NLP on real-world text.
  • Institutionally: FDA's Digital Health / AI program and CDER workshops set the regulatory expectations.

Why they're KOLs

They define how we measure LLM faithfulness/groundedness (Liang, Kiela) and how NLP is responsibly applied to high-stakes medical text (Shah, Liu) — exactly OpenRegEval's evaluation problem.

Key conferences & venues

  • DIA (Drug Information Association) Global Annual Meeting — regulatory + tech.
  • RAPS (Regulatory Affairs Professionals Society) Convergence.
  • AMIA (clinical informatics); ACL/EMNLP (NLP, incl. clinical & eval tracks).
  • FDA public workshops on AI in drug development.
  • Track: FDA draft guidances on AI/ML in drug development (2023–2025).

Starting point, not gospel: these are well-known contributors based on their published work — affiliations change, so verify before citing or any outreach, and this isn't an endorsement or a complete list. Reply with people/venues you think belong here — especially ones you plan to follow or read.

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