Join the Health and Environmental Sciences Institute (HESI) for a dynamic two-day conference on AI and machine learning’s impact on drug, chemical, and food safety. Dive into cutting-edge insights, explore challenges, and shape the future of human and environmental health protection.
What to Expect:
Real-World Applications: Case studies from molecular toxicity modeling to global ecosystem analysis.
Critical Conversations: Discussions on ethical, legal, and technical challenges in AI adoption.
Collaborative Insights: Engaging panels and interactive polling to shape the future of AI in safety science.
Poster Session: A platform to showcase cutting-edge research and exchange ideas with experts across disciplines.
Strategic Roadmap: A final session synthesizing key takeaways into actionable next steps for AI-driven innovation for human and environmental health protection.
Who Should Attend?
Scientists & Researchers
Industry Experts & Innovators
Regulators & Policymakers
AI & Data Science Professionals
Be part of the conversation shaping the responsible and effective use of AI in human and environmental health protection.
| Day 1: June 4, 2025 | |
|---|---|
| 8:00 AM – 9:00 AM | Registration and Coffee |
| 9:00 AM – 9:15 AM | Welcome and Meeting Goals – Dr. Syril Pettit, HESI |
| 9:15 AM – 10:05 AM | Keynote: Setting the Stage – Speaker TBA |
| Session 1: Molecular Initiating Events and Cellular Responses – Tackling challenges to understanding complex toxicity and exposure pathways with novel computational and AI methods Moderator: Carole Yauk, University of Ottawa |
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| 10:05 AM – 11:00 AM | Session Keynote: AI as a Tool to Support New Approaches in Human and Environmental Safety Assessment – Dr. Nicole Kleinstreuer, NIEHS |
| 11:00 AM – 11:30 AM | Break |
| 11:30 AM – 11:45 AM | AI-enabled PBPK and QSAR models for food safety and risk assessments of environmental chemicals, drugs, and nanoparticles – Dr. Zhoumeng Lin, University of Florida |
| 11:45 AM – 12:00 PM | Opportunities for AI to Enhance Species Extrapolation Capabilities – Dr. Carlie LaLone, USEPA |
| 12:00 PM – 12:15 PM | AI-optimized Ontologies as Mechanistic Roadmaps for in vitro Hazard Identification: Chemical-induced Human Hepatotoxicity as a Case Study – Dr. Mathieu Vinken, Vrije Universiteit Brussel |
| 12:15 PM – 12:30 PM | GenAI-powered AoP Generation and Application for New Modalities – Dr. Zhichao Liu, Boehringer-Ingelheim |
| 12:30 PM – 1:00 PM | Panel Discussion |
| 1:00 PM – 2:00 PM | Lunch & Networking |
| Session 2: Understanding Organism and Population Responses to Stressors – Potential for Expanding Study Design, Diversity of Exposure Scenarios, and Study Feasibility with Virtual Elements Moderator: Nina Hallmark, Bayer |
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| 2:00 PM – 2:15 PM | Quantitative Knowledge Activity Relationships (QKAR) for predicting safety – Dr. Dongying Li, NCTR FDA |
| 2:15 PM – 2:30 PM | Virtual Control Groups and the Contributions of AI – Dr. Thomas Steger-Hartmann, Bayer AG |
| 2:30 PM – 2:45 PM | Digital Heart – Dr. Steve Levine, Dassault Systems |
| 2:45 PM – 3:00 PM | Toxicodynamic Modeling – Speaker TBA |
| 3:00 PM – 3:30 PM | Panel Discussion |
| 3:30 PM – 3:50 PM | Break |
| Session 3: Ecosystem and One-Health (Human, Ecological, & Environmental) Protection and Prediction – Can AI Help Us with Global Scale Health Protection? Moderator: Gary Minsavage, Exxon |
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| 3:50 PM – 4:05 PM | AI Models to Tackle One-Health Challenges at the Global Level – Dr. Lauren Charles, PNNL |
| 4:05 PM – 4:20 PM | Flood Prediction – The Role of AI and Data Sourcing for Environmental Prediction – Victoria Baxter, Google |
| 4:20 PM – 4:35 PM | Smart Biodiversity Inventorying – Dr. Levente Klein, IBM |
| 4:35 PM – 4:50 PM | AI and Landscape Modeling in Agricultural Chemical Safety – Dr. Julian Heinrich, Bayer |
| 4:50 PM – 5:20 PM | Panel Discussion |
| Audience Engagement Session | |
| 5:20 PM – 5:45 PM | All audience members will be asked to participate in a live polling and engagement session. Feedback from the questions above and the text transcript of the sessions earlier in the day will be fed into an AI tool and asked to develop an initial roadmap for advancing AI and Human/Environmental health. |
| 5:45 PM – 7:45 PM | Evening Reception and Poster Session |
| Day 2: June 5, 2025 | |
| 8:00 AM – 9:00 AM | Coffee and Networking |
| 9:00 AM – 9:45 AM | Keynote: The Hidden Environmental and Public Health Impacts of AI – Dr. Shaolei Ren, University of California, Riverside |
| 9:45 AM – 10:15 AM | Putting It Together: An Initial Look at the Roadmap Created on Day 1 – Dr. Justin Teeguarden, PNNL |
| Session 4: Exploring the Last Mile of Implementation – Legal, Ethical, Environmental Moderator: Warren Casey, NIEHS |
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| 10:15 AM – 10:45 AM | Building Best Practices for AI Data Equity – Marcel D’Agostino, PAHO, WHO |
| 10:45 AM – 11:10 AM | Driving Value through Actionable AI-Enabled Outputs: Digital Biomarkers and Assessing ROI for Collaborative Effort – Preclinical Digital In Vivo Alliance – Dr. Brian Berridge, B2 Pathology Solutions LLC |
| 11:10 AM – 11:40 AM | AI/ML-based Safety Assessment and Future Perspective – Dr. Yasu Kanda, Japan NIHS |
| 11:40 AM – 12:10 PM | The Evolving Ethics and Regulatory Landscape of Leveraging AI for Medicine and Clinical Research – Dr. Vasiliki N. Rahimzadeh, BCM |
| 12:10 PM – 12:40 PM | Ecology and AI – Dr. Barbara Han, Cary Institute |
| 12:40 PM – 1:45 PM | Lunch |
| Wrap-Up | |
| 1:45 PM – 2:45 PM | Revised Roadmap to Implementation – Roadmap presented to audience, followed by panel discussion |
| 2:45 PM – 3:00 PM | Final Remarks |
Submission Deadline: May 1, 2025
Who Should Submit:
We welcome submissions from researchers, practitioners, policymakers, and students working in AI, toxicology, environmental health, public health, and One Health disciplines. In order to submit a poster you must also register and attend the meeting.
Abstract Format:
Abstract submissions should align with the following conference sessions:
Molecular Initiating Events and Cellular Responses
Novel computational and AI methods for understanding complex toxicity and exposure pathways.
Organism and Population Responses to Stressors
AI-driven approaches to expand study designs, exposure scenarios, and feasibility of virtual elements.
Ecosystem and One-Health Protection & Prediction
Advancing global-scale health protection through AI-driven solutions for interconnected systems.
Exploring the Last Mile of Implementation
Legal, ethical, and environmental considerations for real-world AI applications in health and environmental sciences
hesi@hesiglobal.org
Phone: +1-202-659-8404
Fax: +1-202-659-8403
740 15th Street NW, Suite 600
Washington, DC 20005
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