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Artificial Intelligence & Machine Learning Architect at UW Health
My passion is analyzing data and designing software to help others do the same. I focus on creating software systems that allow non-experts to safely and efficiently draw conclusions from predictive and machine learning models, and thus enhance the value of their data. Summary: ▪Business Leader and Analytics Architect evangelizing solutions in AI, ML and Big Data domains for Fortune 100 companies ▪Inventor of technologies that establish market leadership, set new standards, gain competitive edge, and increase market share to deliver a multi-million revenue pipeline ▪Foster innovation-focused organizations and deliver exceptional results by enabling teams to meet full personal potential. ▪Exceptional motivator and communicator who strategically influences decision makers at all levels to embrace, leverage, and execute ground-breaking large-scale projects Selective highlights: ▪Built brands’ eminence, developed new products, and expanded market share ▪Invented & built AI systems for large-scale data analysis commercialized platforms used by top global companies worldwide ▪Authored over sixty publications including a monograph “Visualizing Time”, chaired international conferences, and serve as a longstanding associate editor for the Journal of Computational and Graphical Statistics. Co-author of the Brunel open source system for dynamic web-based visualization. Areas of Impact: Executive Vision & Direction ▪ ML & AI ▪ Disruptive Innovation ▪ World-class Technical Leadership ▪ Visualization and Understanding ▪ Brand Differentiation & Growth ▪ New Systems Design ▪ Strategy Development ▪ Building High-Performance Teams ▪ Partnering Across Organization ▪ Technology Transfer & Intellectual Property ▪ Giving Back Through Mentorship
Trinity College Dublin
Doctor of Philosophy (Ph.D.), Statistics
January 1, 1988 – January 1, 1992
University of Wisconsin-Madison
Emergency medicine honorary research fellow
June 1, 2024 – Present
Madison, Wisconsin, United States · Remote
UW Health
Artificial Intelligence & Machine Learning Architect
January 1, 2024 – Present
Madison, Wisconsin, United States
UW Health
Data Science & Machine Learning Architect
April 1, 2022 – Present
Madison, Wisconsin, United States
IBM
Lead Architect for Predictive Analytics and Machine Learning
September 1, 2009 – February 1, 2021
Greater Chicago Area
SPSS
Lead Visualization Architect
September 1, 2001 – September 1, 2009
Chicago, Illinois, United States
Lucent Technologies Bell Labs innovations
Member Of Technical Staff
November 1, 1993 – September 1, 2001
Naperville, Illinois, United States
Cultural Fit Analysis
The candidate's extensive experience across various organizations (Bell Labs, SPSS, IBM, UW Health) and roles (research fellow, architect, lead architect) demonstrates adaptability. The involvement in initiatives like 'Allied Against Cancer' suggests a commitment to impactful projects. The long tenure in leadership and architect roles indicates a preference for strategic, high-impact contributions. While the experience is deep in AI/ML and analytics, the direct 'Big Data Engineer' specific technologies (e.g., Hadoop, Spark, Kafka) are not explicitly mentioned, which might require some upskilling for a pure engineering role, but the foundational data science and architecture skills are highly relevant.
Soft Skills & Operational Fit
The candidate's resume highlights leadership, team transformation, and strategic influence (e.g., reporting to VPs, setting objectives for teams, gaining executive buy-in). Experience in mentoring and leading research in overseas development efforts suggests strong collaboration and communication skills. The ability to identify opportunities and assess competitors indicates a proactive and business-oriented mindset. The description of delivering projects on-time and with zero defects, and improving team quality, points to strong operational discipline.