Education

Advanced Analytics Group is led by a Ph.D. neuroscientist whose training combined rigorous experimental science with international research experience. Graduate work conducted in Sweden brought exposure to methodological traditions and scientific cultures beyond the U.S. academy, sharpening an approach defined by experimental discipline, statistical rigor, and a commitment to evidence over intuition. That foundation shapes every engagement: hypotheses are tested, assumptions are interrogated, and conclusions are held to the standard of reproducible science rather than the looser standard of business opinion.

Advanced Analytics Group draws on more than a decade of executive experience building and leading enterprise data science, advanced analytics, and AI functions across healthcare, financial services, manufacturing, insurance, and the public sector. The work has spanned health systems, technology companies, and boutique consultancies, with leadership roles ranging from founding analytics functions inside large enterprises to owning AI strategy and delivery at the C-suite level. The track record includes building enterprise data science teams from the ground up, architecting AI platforms and reusable technical IP, driving go-to-market pivots that multiplied revenue, leading senior delivery on multi-million-dollar enterprise engagements, and directing AI-driven forecasting capabilities recognized with international awards and academic publication. Across these settings, the consistent throughline has been the ability to bring structure to ambiguity, stand up capabilities that did not previously exist, and translate technical possibility into measurable business outcomes. That experience informs how Advanced Analytics Group approaches client work today: with the operator's understanding of what it takes to deliver AI inside a real organization, the strategist's view of where the field is heading, and the scientist's discipline in distinguishing what is known from what is merely claimed.

Advanced Analytics Group operates at the intersection of AI strategy, data infrastructure, and executive leadership, with capabilities spanning the full arc from board-level advisory to hands-on technical delivery. Strategic capabilities include AI and data strategy development, technology roadmapping, organizational design, build-versus-buy and vendor selection, Responsible AI and governance frameworks, and C-suite and board advisory. Technical capabilities span applied machine learning and predictive modeling, generative AI and agentic applications, enterprise data architecture, master data management, AI platform design, and computer-vision-enabled workflow automation. Operational capabilities include standing up data science and analytics teams from the ground up, defining delivery operating models and engineering standards, instituting roadmapping and OKR discipline, and leading multidisciplinary teams across data architecture, engineering, and AI/ML. Underpinning the technical work is a distinct second layer rooted in neuroscience and decision science: the study of judgment under uncertainty, human-AI interaction, and how individuals and organizations process complex information under pressure. Communication runs through all of it, from executive storytelling and data visualization to keynote speaking and the translation of technical complexity for non-technical audiences. The combination is uncommon: the analytical rigor of a research scientist, the architectural fluency of a senior engineer, and the strategic instincts of an executive who has built and led the function from inside.