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VP Engineering; AI, Privacy and Data
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Assessing your cultural and operational fit
Senior Technology leader building AI models and Data Systems that achieve high availability and throughput with very low latencies. I am passionate about Data at scale; the distributed systems required to play with it; the AI methods, models and algorithms to uncover its patterns and the inferences and products one can draw from it. While I strive to be the best mentor I can, I am in awe of those that can truly teach and inspire.
Harvard University
Ph.D., Statistics
January 1, 1992 – January 1, 2000
EPFL
Diplome d'ingenieur, Mathematics
January 1, 1985 – January 1, 1990
VP Engineering
August 1, 2023 – Present
Mountain View, California, United States · Hybrid
Decentriq
Advisor
July 1, 2023 – Present
Zurich, Switzerland · Remote
Kumo.AI
Advisor
July 1, 2023 – Present
Mountain View, California, United States · Hybrid
VP Engineering and General Manager
September 1, 2021 – April 1, 2023
On-site
OECD.AI
Expert
June 1, 2020 – Present
UC Santa Barbara
External Advisory Board UC Santa Barbara Data Science Initiative
March 1, 2019 – August 1, 2021
Santa Barbara, California Area
Chief Data Officer and VP of Engineering
February 1, 2017 – September 1, 2021
VP Engineering
July 1, 2013 – February 1, 2017
Sr. Director of Engineering
November 1, 2011 – July 1, 2013
swissnex San Francisco
Advisor
November 1, 2009 – Present
Director of Engineering; Search, Network and Analytics
October 1, 2007 – November 1, 2011
Microsoft
Senior Product Manager
August 1, 2006 – October 1, 2007
Turn
Statistical Consultant
April 1, 2006 – August 1, 2006
Healthline.com
CTO
July 1, 2005 – April 1, 2006
Stanford University
Visiting Scholar
April 1, 2005 – March 1, 2006
Palo Alto, CA
Entopia, Inc.
Chief Scientist
September 1, 2000 – July 1, 2005
Uncovering Your Authentic Self at Work
June 23, 2026 – Present
Communicating Across Cultures
June 23, 2026 – Present
Skills for Inclusive Conversations
June 23, 2026 – Present
Unconscious Bias
June 23, 2026 – Present
Fred Kofman on Managing Conflict
June 23, 2026 – Present
Confronting Bias: Thriving Across Our Differences
June 23, 2026 – Present
Diversity, Inclusion, and Belonging
June 23, 2026 – Present
Bystander Training: From Bystander to Upstander
June 23, 2026 – Present
Communicating about Culturally Sensitive Issues
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory demonstrates a strong cultural fit for organizations that value innovation, data-driven decision-making, and large-scale impact. Their work at LinkedIn, particularly in building personalized member experiences through AI and scaling data infrastructure, aligns with a product-centric, growth-oriented culture. Involvement with OECD.AI and Google's Ads Privacy and Safety team also indicates a commitment to ethical AI and data stewardship, which is crucial for responsible tech companies. The breadth of experience from engineering leadership to advisory roles suggests adaptability and a willingness to contribute at various levels, fostering a collaborative environment. However, the target role of 'Data Analyst' is significantly junior to their demonstrated experience, which could be a mismatch in terms of career progression and expectations.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles at major tech companies like LinkedIn and Google, coupled with advisory positions, indicates strong soft skills in strategic thinking, team leadership, stakeholder management, and cross-functional collaboration. Their involvement in policy-making (OECD.AI) and academic advisory boards suggests a strong ability to communicate complex technical concepts to diverse audiences and influence strategic direction. The descriptions of their roles emphasize problem-solving at scale and driving innovation, which aligns with operational excellence.