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Chief Data Scientist & Director of AI & HPC Engineering at Lenovo (PhD) | AI Strategy & Commercialization | Agentic AI, Gen AI, LLMs, ML, Computer Vision | Responsible AI Advocate | $1B+ Revenue Growth
I believe AI should not just innovate but deliver measurable, responsible impact at scale. As Chief Data Scientist and Director of AI and HPC Engineering at Lenovo, I lead global AI strategy, commercialization, and engineering innovation. My focus is on building AI solutions that move beyond experimentation into enterprise wide adoption, driving real revenue, operational efficiency, and long term competitive advantage. At Lenovo, I have led the AI Discover Center of Excellence, helping generate over $1B in revenue while delivering hundreds of AI solutions across industries. From scaling global AI teams to unifying strategy under the OneLenovo vision, my work sits at the intersection of advanced technology and business transformation. With over 20 years in AI, my experience spans generative AI, large language models, computer vision, and machine learning applied across sectors from logistics and healthcare to motorsports and enterprise technology. I have built high performing teams, executed large scale AI programs, and helped organizations translate innovation into commercial success. What drives me is ensuring AI is both powerful and responsible, designed with transparency, ethics, and long term value in mind. Selected highlights: -Generated $1B+ in AI driven revenue through Lenovo’s AI Discover Center of Excellence. -Delivered 277+ AI PoCs and built a $500M+ pipeline through strategic AI programs and partnerships. -Enabled $369M in potential revenue through MLPerf benchmarking initiatives. -Led global AI teams and scaled innovation programs across multiple regions and industries. -Developed high impact AI solutions, including a NASCAR Smart Pit Box with 99.6% accuracy and USPS predictive systems saving 24K machine hours annually. -Founded and led Responsible AI initiatives, shaping governance and ethical AI practices at enterprise scale. Earlier in my
The Johns Hopkins University
Doctor of Philosophy (Ph.D.), Biomedical/Medical Engineering
January 1, 2004 – January 1, 2013
Brigham Young University
Bachelor's Degree, Computer Science
January 1, 1998 – January 1, 2004
Lenovo
Chief Data Scientist & Director of AI & HPC Engineering
January 1, 2025 – Present
Hybrid
Lenovo
Chief Data Scientist & Senior Manager of AI Engineering
August 1, 2023 – January 1, 2025
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Lenovo
Senior AI Data Scientist
January 1, 2018 – August 1, 2023
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United States Postal Service
Data Scientist, Advanced Analytics
May 1, 2017 – January 1, 2018
United States Postal Service
Business Systems Analyst, Advanced Analytics
October 1, 2016 – May 1, 2017
Honey Bee Advisors
Data Scientist
January 1, 2014 – October 1, 2016
Baltimore, Maryland Area
Johns Hopkins University
Biomedical Engineer
September 1, 2004 – January 1, 2014
Baltimore, Maryland Area · On-site
NVIDIA AI Advisor - Technical Sales
NVIDIA
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across large corporations (Lenovo, USPS), a startup (Honey Bee Advisors), and academic research (Johns Hopkins) suggests a high degree of adaptability. Their leadership in establishing Responsible AI committees and driving strategic initiatives indicates a proactive and ethical approach to technology, which would be a strong cultural asset. The breadth of their experience, from biomedical engineering to enterprise AI, shows a versatile and curious mindset. While the target role is 'Data Analyst', their extensive leadership and strategic AI experience might indicate an overqualification or a desire for a more senior, strategic data role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and cross-functional collaboration skills through their progression at Lenovo and their role in establishing Responsible AI practices. Their entrepreneurial background also suggests initiative and problem-solving capabilities. The descriptions indicate a focus on delivering business value and managing complex projects, which aligns well with senior operational roles.