Prompt, Context, Critique: Effective AI-assisted Communication in Pharmacometrics

Includes a Live Web Event on 12/15/2026 at 11:00 AM (EST)

ISoP Education Committee & AI/ML SIG Joint Webinar

Why does an LLM sometimes produce brilliant insights and other times confidently generate nonsense? The difference often lies not in the model, but in how we work with it. This session will introduce pharmacometricians to the fundamentals of Large Language Models and the practical skills needed to use them effectively for pharmacometrics communication, particularly prompt and context engineering. We will cover how LLMs generate responses, techniques for crafting stronger prompts and providing useful context, and common pitfalls including hallucinations, bias, and overreliance on AI-generated content.

Through two simple, hands-on examples selected based on ISoP member input, participants will learn how to refine prompts and context when using common AI tools for tasks. Topics may include creating strong presentations efficiently, using AI to plan your narrative, creating beautiful and finely-controlled figures, or using LLMs as a constructive critic to mimic different target audiences. Whether you are new to AI tools or already experimenting with them, this webinar will provide practical methods to help you work more effectively, critically, and confidently with LLMs.

Ana Solaguren-Beascoa

Dr. Ana Solaguren-Beascoa is an Associate Director of AI with 10 years of experience in the field of AI. She holds a PhD in Theoretical Particle Physics.

During her eight years in London, she built her career across multiple companies as an ML scientist, starting her journey in the biotech industry at BenevolentAI and later on at CoSyne therapeutics. Since, she has been working on projects such as LLM-graph enhanced models for target identification, protein druggability assessment, single cell RNA-seq foundation models or AI agents for rare diseases drug identification. Alongside the industry she was also a visiting lecturer at City University of London teaching machine learning and data science.

Outside of work, she enjoys cooking and travelling whenever she gets the chance.

Bovornpat Suriyapakorn

Bovornpat Suriyapakorn is a Quantitative Pharmacologist at Sanofi with a background in clinical pharmacy and biostatistics. Originally from Thailand, he previously worked as a lecturer and clinical pharmacist at Chulalongkorn University before completing his PhD in Experimental and Clinical Pharmacology at the University of Minnesota. His scientific interests include population PK, PK/PD, mechanistic and translational modeling, clinical trial simulation, and model-informed drug development, with particular interests in CNS drug development and biologics. Beyond his scientific work, Bovornpat is actively involved in the International Society of Pharmacometrics (ISoP), with a strong interest in education, mentoring, and scientific communication.

Jane Knöchel

Assistant Professor

University of Copenhagen

Jane Knöchel is a Tenure-track Assistant Professor at the University of Copenhagen, where she is building a research group at the intersection of mechanistic and data-driven modelling. Her work focuses on methodological advances in pharmacometrics, including synthetic data generation, systems pharmacology modelling, and AI-enhanced analysis. Trained as an applied mathematician, she recently transitioned back to academia after seven years in industry, where she worked in applied pharmacometrics across both large pharmaceutical companies and CROs.

Stacey Tannenbaum, PhD, FISoP

Stacey Tannenbaum, PhD, FISoP is a scientist and leader in Model Informed Drug Development, and principal at SJTPharm LLC. She is currently a Consultant and Coach to the MIDD community, supporting the development of leadership, communication, and change management skills.

Her previous roles include VP of Scientific Engagement at Metrum Research Group, and Pharmacometrics science and leadership at Novartis and Astellas. Stacey earned a BSE in Biomedical Engineering (Duke University), a PhD in Pharmaceutical Sciences and Applied Mathematics (University of Arizona), and a post-doctoral fellowship at the Center for Drug Development Science (Georgetown University). During her 25+ years as a PKPD scientist in Pharma and consulting, Stacey contributed to multiple drug development programs and successful submissions. Some of the outcomes of her work were optimization of dosing for future trials and labels, prediction of efficacy and safety with confidence, design of smarter studies and identification of key covariates, and bridging across populations, such as from healthy subjects to patients, and adults to children. As she transitioned from individual contributor into leadership roles, her expertise expanded beyond the science itself to include: championing science communication and soft skills development within technical teams, building infrastructure and implementing best practices for efficient and reproducible MIDD, guiding partners in translating clinical needs into strategic and model-informed solutions, and mentoring and training the next generation of leaders.

Stacey has had a significant impact on the global Pharmacometrics community. She co-founded ISoP, serving as its first President, and is an ISoP Fellow and Leadership Award recipient. Stacey co-founded the ACoP and was conference chair for the first three events; she remains an active volunteer in both ISoP and ACoP. She is the Executive Committee chair for WCoP, and is the chair of the Quantitative Pharmacology Network at ASCPT. She served as a board member of AAPS, chaired the AAPS M&S Focus Group, and was the co-chair for the AAPS Forum for Connecting Predictive Modelers. Stacey also co-founded the networking group Modeling and Simulation Applications in Clinical Pharmacotherapy (MoSAiC), now ISoP-NJ/NY/PA.