Frank is Head of Applied AI at Databook. Previous roles include CEO and co-founder of VM-X (ai infrastructure), CTO of Thru.ai (an agentic platform for Healthcare), and VP of Innovation & Strategy at Western Digital, where he led diverse teams of PMs and engineers. At Uplift (a Fintech company), Frank served as Chief Data Officer, where he helped scale the company from 20 to ~200 people across multiple domains. At McKinsey & Company, he was an Engagement Manager in the Silicon Valley Tech practice.

With a master’s in Physics and an MBA from Kellogg, Frank blends technical acumen with leadership finesse.

Natalie Novitskiy is the Head of People Operations at Databook, where our vision is to empower individuals to achieve their best work. In this role, she oversees all facets of HR, including talent acquisition and development, employee experience, and the company’s global strategy and compliance.

Prior to Databook she led People initiatives at Mantra Bio and earlier in her career served as the Head of People at Bluescape. Natalie holds a Bachelor of Science in Marketing from SJSU, is a certified Professional in Human Resources (PHR), and has studied Mediation and Conflict Resolution at UC Berkeley. She enjoys snowboarding and boxing and lives in the Bay Area.

Alex Barrett is a Co-founder of Databook. Alex makes Databook’s customer-centric insights relevant and actionable for our users.

Previously, Alex worked as a freelance content strategist for clients including Accenture and the World Economic Forum. He also brings a decade of experience as a journalist, researching and producing television documentaries for the BBC.

Alex graduated in Modern Languages from Cambridge University.

Ivan Galea is the Chief Technology Officer, leading AI, Engineering, and Product Management. With a proven track record of partnering with C-suite executives and Boards of Directors, Ivan excels in unlocking and scaling business value through data and AI capabilities.

Ivan’s extensive experience spans high-growth environments across multiple industries, where he has consistently created innovative data products that bridge the gap between technical and business needs. His leadership encompasses AI/ML, analytics/data science, product management, and data engineering, with significant roles at Atlassian, Box, PayPal, and in Wall Street. He has also advised numerous tech startups.

Ivan holds a Ph.D. from Yale University, a Master’s Degree from the University of Pittsburgh, and a Bachelor’s Degree from the University of Malta.

Anand Shah is CEO and Co-founder of Databook. Anand brings to Databook more than 15 years of experience as an expert in consulting Fortune 500 CXOs on how companies drive top-line growth for the enterprise. Before founding Databook, Anand was an Engagement Partner at Accenture Strategy, leading their engagement with the World Economic Forum on Digital Transformation, and a global lead for Accenture’s Strategic Insights group.

Anand holds a dual-MBA from Columbia Business School and London Business School, a Master’s Degree in Finance from the University of Reading, and a Bachelor’s Degree in Computer Science from Imperial College London.