Building the Future of Computational Pharmacometrics
AI4Pharma is building the next generation of AI-powered infrastructure for drug development. We combine agentic AI, GPU-accelerated computing, and deep pharmacological expertise to automate and accelerate the entire modeling pipeline — enabling faster decisions, shorter timelines, and better outcomes.
Our Mission
To build the most powerful and intuitive AI-driven software tools for pharmacometricians — so that the scientists developing tomorrow's medicines can spend more time on science and less time on scripting.
Three Core Focus Areas
Artificial Intelligence
Applying state-of-the-art LLMs and agentic AI systems to automate complex pharmacometric reasoning and workflow orchestration.
High-Performance Computing
Leveraging GPU and cloud HPC infrastructure to dramatically accelerate pharmacometric model execution and simulation.
Pharmacological Modeling
Deep expertise in population PK/PD modeling, clinical pharmacology, PBPK, and regulatory science.
What We Stand For
Mission-Driven
We exist to accelerate drug development by removing computational and workflow bottlenecks that slow pharmacometricians down.
Innovation
We continuously push the boundaries of what is possible at the intersection of AI and pharmacological science.
Domain Depth
Our team combines deep pharmacometric expertise with cutting-edge software and AI engineering capabilities.
Impact
Every tool we build is aimed at delivering measurable time and quality improvements to drug development programs.
AI4Pharma — Where Science and Engineering Meet
Our founders combine deep pharmaceutical expertise with AI research and high-performance computing to bridge the gap between bench science and computational innovation.
A clinical scientist and AI engineer with seven years across healthcare and research, trained at UCSF and Stanford. His own work spans PK/PD modeling, pharmacogenomics, graph machine learning, and agentic AI systems for therapeutic discovery and precision medicine. Having worked as each — clinician, scientist, modeler, engineer — he translates between the four groups a drug program depends on and holds them to one definition of the problem.
A medicinal chemist and data scientist with over 10 years in drug discovery, trained at UNC and UCSF for her postdoctoral and master’s degrees. Her work at Vertex Pharmaceuticals and Pfizer spans small-molecule discovery — synthetic chemistry, SAR analysis, and computational oncology — and AI/ML in clinical pharmacology. She leads our pharma partnerships, working with the discovery and clinical pharmacology teams our tools are built for.
An AI and machine learning leader with over 18 years in software engineering, including nine years building healthcare AI and clinical NLP systems. Formerly a Senior Research Scientist at Microsoft/Nuance, he leads the development of our agentic AI architecture, turning advanced AI research into secure, scalable solutions for drug development.
A senior systems and GPU engineer with more than 15 years across high-performance computing, graphics programming, embedded systems, and software architecture. He held engineering and technical leadership roles at Huawei, Qualcomm, and Valeo, covering GPU platform architecture, Vulkan and DirectX systems, and performance optimization. At AI4Pharma he leads our computational infrastructure and high-performance modeling systems, and is the inventor of a U.S. patent in information security.
Want to learn more or collaborate?
We're always interested in connecting with pharmacometricians, clinical pharmacologists, and pharmaceutical scientists.