SIG - AI/ML

Hi everyone,

I'm Elba, part of the AI/ML SIG leadership team, and I'm so excited to see this community growing! 🎉

I thought it would be great to kick things off with a little introduction thread - a chance for us all to say hi and get to know each other!

Feel free to share:

• Who you are and where you're based
• What drew you to the AI/ML SIG
• Something you're currently working on or curious about in AI/ML
• What you're hoping to get out of this community

I'll go first! I'm a Pharmacometrician at Sanofi based in Frankfurt, Germany. I'm passionate about exploring how AI/ML can enhance and speedup our work in pharmacometrics, and I'm really looking forward to learning from all of you and building something great together.

Now it's your turn 😄 Whether you're an AI/ML expert or just curious to learn more, we'd love to hear from you.

Looking forward to connecting with you all!

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Elba Raimundez Alvarez
Sanofi
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Hi Elba,

Nice to know you. Thanks for kick starting the discussion. I'm Jafar Shaik and I'm currently a Pharmacometrician at J&J Innovative Medicine based in Spring House, PA. I'm passionate to learn and apply AI/ML skills to enhance the efficiency by streamlining and automating routine PMx workflows and accelerate clinical development. 

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Jafar Sadik Shaik
Associate Director
Johnson & Johnson
West Chester PA
+14127586891
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Hi everyone!

     Excited to see this SIG come together. It's definitely a dynamic and timely topic! I'm Lindsay Clegg. I'm a biomedical engineer/QSP modeler/pharmacometrician by training and experience. These days, I lead a group of pharmacometricians and PBPK modelers at AstraZeneca (in Gaithersburg, MD) working primarily on infectious and cardiovascular diseases. I'm also involved in a couple of different AI initiatives spanning process improvement, predicting clinical outcomes based on clinical data, and patient-level risk prediction.

I'm also the vice chair of the ISoP Education Committee this year, so happy to help coordinate collaboration on educational aspects with that committee.

I'm here because:
1) I'm always interested in learning new things
2) I love opportunities to make our day-to-day pharmacometrics work more efficient, which AI is looking to be a great tool for, and
3) I'm also very focused on how we train and teach people pharmacometrics- which AI is certainly going to influence 
(but also means it's a great time to be thoughtful and intention in how we incorporate AI into work without sacrificing quality, and also how we teach new pharmacometricians to do the core work, leveraging AI without missing out on building the core skills along the way).

Looking forward to seeing this community grow and sort out how we as pharmacometricians can best navigate these challenges together!

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Lindsay Clegg
AstraZeneca
Gaithersburg MD
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Hey everyone,

Thanks for kicking this off! I'm Jean-Baptiste, AI Engineer at Nova In Silico, based in France.

My work focuses on integrating AI into our in silico clinical trial simulation platform to help streamline clinical trials using disease models and digital patients. These days, I'm particularly working on accelerating QSP model creation using human-assisted, informed AI agents, which is both exciting and challenging!

I'm really excited to share knowledge through this SIG, exchange on good practices we want to adopt, and collectively explore where AI trends can generate real value in our day-to-day pharmacometrics work.

Looking forward to exchanging with you all!

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Jean-Baptiste Gourlet
Scientific Software Engineer
Nova In Silico
Lyon
+33 662144719
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Happy new year everyone,

I work as a quantitative medicine scientist for critical path institute in Arizona, USA. My work involves digital health technology, predictive modeling, and disease progression modeling. I use statistical methods and ML/AI. Here to exchange ideas and learn more about using ML/AI to accelerate drug development. I am also interested in the integration of ML/AI into traditional pharmacometric methods. Lastly, I also hope to learn and improve some organizational skills in this community. So if I can fill any role to help the leadership team, please let me know 😄@Elba Raimundez Alvarez.

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Mingyuan Wang
quantitative medicine scientist
critical path institute
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Hi everyone!

I'm Victoria, part of the AI/ML leadership team. I'm an Associate Director in Pharmacometrics at Certara, based in Basel, Switzerland.

My work in AI/ML for pharmacometrics has focused on adopting and testing classical ML frameworks, such as neural ODEs, hybrid neural ODEs, variational autoencoders, tree‑based models, and interpretability methods, by applying them to data across different stages of the clinical drug development to answer different questions and assess where they provide the most value. More recently, like many of us, I've been exploring how AI agents can help optimize and streamline our workflows.

One question I try to always keep in the back of my mind is how we can use these tools effectively given the data we work with, while being aware of best practices and the limitations of the frameworks.

I am very excited to be part of this community, to share resources, discuss best practices and learn from each other!!! 


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Victoria Ponce
Associate Director, Pharmacometrics 
Certara
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Hi everyone,

It's great to see so many of you already engaging here.

I'm Jane, part of the AI/ML SIG leadership team. I recently joined the University of Copenhagen, where I'll be building a team working at the intersection of AI and pharmacometrics. I'm a mathematician by training and have been involved in my own AI projects, as well as leading the AI strategy at a startup.

I'm very eager to build this community, develop a shared knowledge hub, and create a space for meaningful exchange together with all of you.

All the best,
Jane

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Jane Knöchel
Assistant Professor Advanced Pharmacometrics
Copenhagen University
Copenhagen
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Hi everyone,

Interesting to see everyone's backgrounds and focus areas!

My name is Undine, I'm based in Berlin and currently working as a pharmacometric consultant at qPharmetra. I'm involved in developing an automatic model development tool intended to speed up initial model development. More generally, I'm interested in how AI/ML can meaningfully support pharmacometrics workflows, especially in extracting structured knowledge and enabling consistent reporting.

I'm looking forward to the exchange within this group.

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Undine Falkenhagen
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Hi all,

I hope everyone is doing well! My name is Tim Liang, and I finished my master's program in Fall 2025. Some of my labmates have incorporated AI into their disease modeling work, although my own research did not directly implement AI. My background is focused on mechanistic modeling of HIV latent infection among individuals with substance use on ART, and I have been passionate about disease modeling ever since I was first introduced to it.

I genuinely enjoy learning new subjects and staying informed, and I am glad to be part of this group!

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Tim Liang

California 
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Hi Everyone,

My name is Sam Miles and I am currently working as the Automation and AI/ML Lead in PK/PD at Eli Lilly based out of Indianapolis, IN.

When I first signed up for ISoP membership I noticed this SIG and wanted to join! I started my journey in the AI/ML space during my Masters degree program in Computer Engineering where I engineered a custom version of Particle Swarm Optimization for better convergence when using vectorized text data like what you'd expect LLM's to use under the hood. I've been passionate about applications for AI/ML for quite some time and am particularly excited about the role that I believe it can play in MIDD at large, I believe there is an incredible amount of opportunity for AI/ML in this space and I'm so excited to be a part of it!

My goal in joining this community is to expand my network and learn how others in the community are applying AI/ML into their workflows and to look for opportunities to get involved with the community and volunteer myself to help support this SIG in any way I can. Looking forward to connecting with all of you!

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Samuel Miles
Automation Lead
Eli Lilly and Company
Indianapolis, IN
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Hi everybody, nice to meet you Elba.  I'm Angelean Hendrix, VP pf MIDD and Pharmacometrics at Premier Research.  I just finished a certification in AI/ML and a 4 month contract as head Product Lead for an AI/ML startup before I joined Premier.  I'm very interested in how we can actually use AI/ML to increase productivity while maintaining client confidentiality.  

I'm here because I'm building a department that I want integrated with AI/ML from the start!  And I don't want it to be just a stamp of approval.  The next 5 years are going to be critical as to how not only can we eliminate white space and automate repetitive tasks, but how can we support AI learning in a way that learns not only from the published successes, but from the "what not to do's".  Building communities like this help towards that goal.  

Happy to be a part and looking forward to getting more involved. 

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Angelean Hendrix
Vice President Pharmacometrics and MIDD
Premier Research
Apex NC
9199865709
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Hi everyone, nice meeting all of you and thanks for creating this place for exchange!

My name is Marian Klose, I am a final year PhD Student in the PharMetrX program at Freie Universität Berlin, Germany. I have some limited experience in programmatic access to LLMs, and I am currently trying to get my feet wet with agentic LLM-driven workflows in Python using LangGraph. For the sake of my own learning, I sometimes post and plan to post irregularly on my little blog: https://marian-klose.com/posts/hitl_llm_agentic_pmx_workflow/.

I am really interested in learning how we can use LLMs to speed up some clearly defined tasks in pharmacometrics without losing the critical validation process of each step that is needed in our domain. Looking forward to some interesting exchange in the future ☺️

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Marian Klose
PharMetrX / Freie Universitaet Berlin
Berlin
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Euibeom Shin, M.S.
PharmD Candidate
University at Buffalo
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Hi everyone! 👋

I'm So Jin Lee, Pharm.D., Ph.D., Co-Founder/CTO of APLUS Simulation and an Affiliated Professor at Sungkyunkwan University School of Pharmacy, where I teach Clinical Pharmacology and Modeling. My background is in Pharmacometrics, with experience in industry supporting drug development programs across PK/PD, Population PK, PBPK, and translational modeling for IND and NDA/BLA submissions. I'm based in Seoul, Korea, and completed my Pharm.D. at the U of M CoP in Ann Arbor.

More recently, my work has focused on integrating AI/ML with mechanistic modeling to support quantitative decision-making and on building AI/ML-integrated clinical PK/PD prediction software.

I'm excited to join this SIG because I'm enthusiastic about learning from this community and staying up to date with the latest developments. I believe AI/ML should go beyond automating routine tasks-it should enhance scientific reasoning and quantitative decision-making while maintaining transparency and regulatory confidence. I'm particularly interested in AI applications for MIDD, biomarker analysis, translational prediction, and also AI-assisted modeling workflows. Ultimately, I believe the key is not only AI/ML itself, but how PMX-AI/ML experts interpret, validate, and apply AI-generated results/insights to make scientifically sound decisions.

I'm also looking forward to presenting our groups work at ACOP and ISSX this year on AI/ML integration. I hope to meet many of you there! Looking forward to learning from everyone here and exchanging ideas!

(p.s. I would also appreciate it if you could let me know how to remove the photo attachment, if possible. ;) )

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So Jin Lee
Co-founder, CTO / Affil.Prof.
APLUS Simulation / SKKU School of Pharmacy
Seoul
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Original Message:
Sent: 07-01-2026 00:06
From: Euibeom Shin
Subject: Let's Break the Ice! Hi everyone!

Hi everyone!! 

 

I'm Euibeom a PharmD/MS candidate at the University at Buffalo, working with Dr. Murali Ramanathan. My research has been on LLM evaluation for clinical pharmacology, a published paper on LLM assessment of clinical trial protocols (CPT 2025), and I'm currently extending it to first-in-human dose selection. This summer I'm also interning at Lagomorph Technologies on retrieval evaluation for a QSP literature RAG system.

 

What draws me to this SIG is the evaluation piece specifically  the "scores into trust" question of how we go from "the model said X" to "we have enough evaluation rigor to act on X" in high-stakes contexts like dose selection and trial design. (Also recently joined the Agentic Workflows sub-group under this SIG, so nice to see others already here too!) Excited to learn from everyone here and connect. 

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Euibeom Shin, M.S.
PharmD Candidate
University at Buffalo
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Hi Elba, thanks for getting this started. 

I'm Natalie Jusko, a Clinical Pharmacology Lead at Pfizer in Cambridge, MA. My graduate work focused on AI/ML-based approaches for predicting adverse events of small molecule kinase inhibitors, and I'm interested in how these methods can be integrated into clinical development more broadly. Looking forward to learning from the group!

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Natalie M. Jusko
Clinical Pharmacology Lead, Manager
Pfizer | Cambridge, MA
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