Joseph Nipko

About Joseph Nipko

I’m an executive AI and analytics leader with 20+ years building and scaling customer-facing machine learning systems and advanced analytics platforms in regulated environments (enterprise SaaS, financial services, and life sciences). I lead cross-functional organizations spanning data science, ML engineering, and platform/software engineering, and I focus on translating strategy into reliable, scalable products and capabilities.Today I’m VP of AI & Machine Learning at FormBio (a spin-off of Colossal Biosciences), where I own AI strategy and roadmaps and lead large-scale model development, deployment, and lifecycle governance (versioning, provenance, auditability). Prior to that, I led computational research at Colossal, and earlier I led AI platforms in enterprise retail optimization (pricing, promotion, assortment), and built high-performing teams that ship production systems. My leadership style is practical and product-oriented: align to the business objective, build the right team, execute with strong engineering discipline, and create governance that makes AI trustworthy and repeatable. I’m especially interested in AI that accelerates decision-making and user workflows—ranging from predictive/optimization systems to GenAI-enabled assistants—delivered with responsible AI practices.

Experience

1. Vice President of Artificial Intelligence and Machine Learning

   Form Bio

   Jul 2022 — Present · Austin, TX, US

   Lead the AI strategy and execution for FormBio (a spin-off of Colossal Biosciences), delivering AI/ML capabilities that accelerate biological design and analysis workflows. • Build and lead cross-functional teams spanning data science, ML engineering, and software engineering, with clear operating cadence, goals, and delivery accountability. • Define product-oriented AI roadmaps and partner with platform, product, and stakeholders to prioritize high-impact capabilities from research to production. • Establish scalable practices for model lifecycle management, including deployment readiness, reliability, monitoring, and governance aligned to regulated use cases. • Communicate AI strategy, technical tradeoffs, and execution progress to executive stakeholders and external partners in clear, decision-ready narratives.

Education

• Colorado State University

  Doctor of Philosophy - PhD, Physics

• University at Buffalo

  Bachelor of Applied Science - BASc, Mathematics and Physics