Summary
Mark Howison is a Director of Data & AI with a 17-year track record of building production AI/ML systems and leading cross-functional teams in both public sector and enterprise contexts. He has architected secure, large-scale data platforms (including FISMA/HIPAA-compliant lakes) and deployed mission-critical AI products—from rapid emergency benefits systems to state-wide recommendation engines and LLM-based RAG solutions. At Amazon he translated technical science into executive-ready reports and best practices for hundreds of practitioners, and at RIPL he combined causal inference, NLP, and bioinformatics to drive measurable public-health and policy outcomes. Known as a pragmatic technical leader and mentor, he blends deep research roots (MS CS, bioinformatics and HPC experience) with product-focused delivery and an emphasis on trustworthy, governance-aware AI.
11 years of coding experience
13 years of employment as a software developer
MS Computer Science, MS Computer Science at University of California, Berkeley
BS Mathematics, BS Mathematics at Brown University