Deep Origin

Vice President

• Own, define, and scale our computational toxicology platform end-to-end.
• Operate as the general manager of the platform with full ownership across scientific vision, technical architecture, product strategy, and execution.
• Work cross-functionally with ML/AI teams, computational biologists, toxicologists, engineers, and commercial teams.
• Translate cutting-edge science into scalable, enterprise-ready systems.
• Define and drive the long-term roadmap for in silico toxicity prediction.
• Design innovative modeling approaches across mechanistic and ML paradigms.
• Integrate ML/AI, systems biology, PK/PD modeling, and real-world data into a unified platform.
• Evaluate tradeoffs between mechanistic modeling and statistical learning approaches.
• Identify breakthrough opportunities beyond current industry standards.
• Translate scientific capabilities into robust, scalable software systems.
• Partner closely with engineering to build secure, enterprise-grade infrastructure.
• Ensure scientific rigor, reproducibility, and regulatory alignment.
• Define product strategy for pharma-facing platform offerings.
• Engage directly with senior R&D and safety leaders at pharmaceutical companies.
• Build and lead a world-class interdisciplinary team (ML scientists, computational biologists, toxicologists, engineers).

Head of In Silico Drug Toxicity, VP of Toxicology