Building Knowledge in the Toxicological Sciences
Building computational tools that bring data science and machine learning to toxicology. Offering software development and licensing, manuscript editing, and academic course instruction from an experienced board-certified toxicologist.
Inquire About Software Licensing & Instruction →Core Disciplines & Capabilities
Bridging toxicology, data science, and machine learning to build modern computational tools and educate the next generation of scientists.
Next Generation Systems Toxicology
Creation and licensing of computational software for next generation systems toxicology, integrating chemical, biological, and pathway-level data into scalable, well-documented tools for academic institutions, nonprofit organizations, and the public.
Machine Learning–Driven Modeling
Predictive analytics and machine-learning models that uncover patterns in molecular toxicological data, for research and education.
Featured book: Predictive Analytics for Toxicology: Applications in Discovery Science (CRC Press, 2024)
Manuscript Editing & Peer Review
Expert-level scientific editing, peer review advisory, manuscript preparation, and recommendations on finding the right journal for research manuscripts in toxicology, physiological sciences, xenobiotic metabolism, and pharmacology.
Curriculum & Course Instruction
Toxicology curriculum development and course instruction for academic graduate and undergraduate programs, covering toxicology principles, computational and systems toxicology, and pharmaceutical sciences.
Evidence-Based Toxicology
Tox Foundry™ is built on extensive scientific experience in toxicology, peer-reviewed journal editorial leadership, and academic instruction in toxicology and pharmaceutical science. All work emphasizes scientific rigor, transparent and reproducible methods, and clear communication of the evidence.
Engage Tox Foundry™
For software licensing, manuscript editing, or academic course instruction inquiries, contact us directly: