I work at the interfaces of biologics manufacturing. Between development and manufacturing, data science and manufacturing science. Today that work is mostly about AI. Getting the data ready is the way in, and agentic AI is finally making it real.
I lead process monitoring and data science/AI strategy across a global biologics manufacturing network, with nearly thirty years in biologics CMC and an Sc.D. from MIT, where I first put AI to work on biologics problems nearly forty years ago. More about me, or get in touch.
Upcoming
Process Monitoring AI Projects
BioMetre
A framework that scores how ready an organization's data is for AI, turning a vague question into a number you can track and improve. It anchors the "Are We There Yet?" digital maturity model I present, and I am working to establish it as an industry benchmark.
AI-mAb
An open simulator that generates realistic biologics process data, so AI tools can be developed and stress-tested without waiting on scarce or proprietary datasets. Non-proprietary and available to the field.
AI in Biopharma Manufacturing: Are We There Yet?
Season 1 reads the regulatory frameworks taking shape for AI in pharmaceutical manufacturing as they are written: EU GMP Annex 22, the FDA's AI credibility framework, the EU AI Act, the EMA reflection paper. One question per episode, thirty minutes, built for a walk. Nine episodes plus a trailer, each with a transcript and a fact-check against the source documents.
YouTube Apple Podcasts Spotify RSS feedOn y est ? L'IA dans la production biopharmaceutique
L'édition française : les neuf mêmes épisodes, traduits ligne par ligne à partir des scripts anglais vérifiés et lus par des voix d'IA françaises, avec leur propre flux et leurs propres pages d'épisode. Sam et Sarah gardent leurs prénoms ; les documents gardent leurs titres officiels en français.
YouTube Apple Podcasts Spotify Flux RSSAI-in-CMC Regulatory Map
My working notes on the rules of the road: an interactive map of the regulations, guidance, harmonised guidelines, standards and industry papers that govern AI in pharmaceutical development, manufacturing and quality — with a timeline, model-impact tiers, and the change-control instruments that connect them. Public sources only, updated as the landscape moves.
Manage AI Risk in Five Steps
FDA, EMA, ICH, Annex 22, BioPhorum and GAMP each grade AI in their own vocabulary. Underneath, they all ask two questions: how much does the AI influence the decision, and what happens if it is wrong. A one-page job aid and infographic: define the context of use, grade on influence × consequence, identify weaknesses, layer the controls, monitor across the lifecycle. Every item attributed to its source.
Interviews and media
Other people's lens on the work: press interviews, conference coverage, and a podcast conversation.
Implementing AI in Regulated Biomanufacturing
Taped interview with Lori Ellis of Open Door Salon: data readiness, turning process data into actionable insights, balancing AI innovation with IP protection, security, and regulatory compliance, and how to build an AI strategy when you don't yet trust your data. AI Drug Discovery & Development Summit, Boston, October 28, 2026. Full interview to follow.
LinkedIn preview post
Q&A with Dr. Jack Prior: Is Your Process Data Ready to Act On?
Interview with Emily Schoenthaler after the PDA/FDA talk: what makes process data actionable, where AI adds value in process monitoring, and what to settle before AI supports manufacturing decisions. BioPharm International, September 17, 2026.
Read the Q&A
FDA, Sanofi, Gilead Weigh AI Readiness and Validation Risk at PDA/FDA Conference
Feliza Mirasol's report on the session: the data maturity scoring model, FDA's foundations for digital transformation, the first warning letter citing AI misuse, and the panel on risk-based AI validation. BioPharm International, September 2026.
Read the coveragePDA Week 2026 Interview
Two segments with Richard Jaenisch.
▶ Part 1: The Next Wave of Pharma AI ▶ Part 2: Measuring Data Readiness of AI
Bioprocessing Unfiltered Podcast
With William Whitford. Cambridge Healthtech Institute.
▶ Listen to episode ▶ Watch on YouTube LinkedIn postTalks
"Your talk was super educational. You really are the OG of AI for bioprocess." Richard C. Willson, Huffington-Woestemeyer Professor of Chemical and Biomolecular Engineering, University of Houston
From Data to Decisions
Talk on data readiness for AI in biologics manufacturing, followed by the executive panel on unlocking data for manufacturing outcomes. AI Drug Discovery & Development Summit, Kisaco Research, Boston Marriott Copley Place, October 28, 2026.
Speaker page
Are We There Yet? A Digital Maturity Model for Enabling Process Monitoring and Artificial Intelligence in Biologics Manufacturing
Plenary keynote. Bioprocess International, Biotech Week Boston, Hynes Convention Center, September 24, 2026.
Speaker page
Are We There Yet? A Digital Maturity Model for Enabling Process Monitoring and Artificial Intelligence in Biologics Manufacturing
Webinar, paired with Masaki Yamada of Invert on agentic AI for bioprocess decision support, followed by live Q&A. BioPharma Webinars, September 16, 2026.
▶ Watch on BrightTALK
PDA/FDA Joint Regulatory Conference, Washington DC
"Is Your Process Data Ready to Act On?" in the session on advancing digital tools and data utilization in a CGMP environment, then a panel with FDA and Gilead moderated by Christopher Downey of FDA CDER. September 2026.
Event page
Are We There Yet? A Digital Maturity Model for Process Monitoring and AI in Biologics Manufacturing
Day Two keynote. BioTalk US 2026.
LinkedIn post
Process Data Readiness for AI in Biologics Manufacturing
Plenary keynote. Cambridge Healthtech Institute Bioprocessing Summit Europe, Barcelona.
LinkedIn postAre We There Yet?
Recorded plenary talk. Pharma Manufacturing World Summit 2025.
▶ Watch on Vimeo LinkedIn postAIChE PD2M Conference
Organizing committee. At PD2M, hosted at Amgen, introduced former intern Jason Kelly, CEO of Ginkgo Bioworks, for his keynote on autonomous labs.
LinkedIn post
Opportunities and Challenges in Biologics Manufacturing Process Data Analytics Innovation
National Academy of Sciences, "Innovations in Pharmaceutical Manufacturing" workshop, Washington DC, February 2020.
An invited talk at a National Academies workshop convened to inform a committee writing a report for FDA on process data analytics technologies expected in biologics manufacturing.
▶ Watch on Vimeo Slides (PDF)Panels
Regulators, industry, and me, on the record about AI and data.
Trust, not autonomy: Deploying agentic AI in GxP environments
Webinar panel, with Mike Branson of UCB, moderated by Reza Farahani of Katalyze AI. What an agent should be allowed to do, under what conditions, and what evidence is needed to trust the result: bounded tasks, grounding in controlled information, traceability, evaluation, and human oversight scaled to risk. Endpoints News, November 3, 2026.
Event page
Unlocking Data for Improved Manufacturing Outcomes
Executive panel, with Eric Hodgman of Bristol Myers Squibb and Nathan Moore, moderated by Ray Veeraraghavan of L7 Informatics. How pharma manufacturers are turning fragmented process and quality data into a strategic asset, and what it takes to translate better data access into measurable gains in yield, consistency, and speed. AI Drug Discovery & Development Summit, Boston, October 28, 2026.
Agenda
Regulatory Panel on AI Guidance
Panelist, with FDA and MHRA. Does AI in manufacturing and CMC need new frameworks, or can existing guidance be mapped onto it? ISPE AI in Life Sciences Summit, Boston, June 22, 2026.
▶ Watch on ISPE LinkedIn post Event page
Unlocking Smarter Bioprocessing through Better Data Collection, Quality, and Analysis
Panel episode, hosted by Maximilian Krippl, with Andrea Arsiccio, Ayca Cetinkaya, and Mario P. Pereira. Recorded at Bioprocessing Summit Europe, Barcelona. Bioprocessing Unfiltered, August 2026.
▶ Listen to episode ▶ Watch on YouTube
The Innovation Imperative: Driving Change with Digital Tools and AI
Panelist, with Mark Hill, Karin Shanahan, and Joseph Horvath. American Pharma Manufacturing and Outsourcing Summit, Boston, November 2025.
LinkedIn postRecent LinkedIn Posts
Bioprocess International 2026 plenary keynote recap: Are We There Yet?
AI capability is doubling every 3.5 months: what that means for locking a model into a two-year validation cycle
MIT Leaders for Global Operations Class of 2028 visits Sanofi Framingham
2025 Daniel I.C. Wang Lecture, featuring Chetan Goudar
A grading memo and an MIT classmate: David Y. H. Chang
Introducing a former intern at PD2M: Jason Kelly, CEO of Ginkgo Bioworks
Barcelona plenary keynote recap
PDA Week 2026: is AI ready, and is the data ready?
PDA Science Advisory Board appointment
Questions, collaborations, or comparing notes on data and AI in manufacturing: email is the best way to reach me.