About me

With over two decades of experience, I've refined the practice of transforming raw data into actionable insights. What truly distinguishes me is my unwavering commitment to cultivating a culture rooted in the ideals of DevOps: Locality and Simplicity, Flow and Joy, and the Improvement of Daily Work. I thrive tackling complex problems and propelling business success through technology. As a leader, I'm recognized for my ability to motivate teams to create impactful solutions that seamlessly bridge the gap between data-driven insights and tangible outcomes.

Driven by the ideals of DevOps, I have fostered thriving team cultures by cultivating an environment where collaboration and shared ownership flourish. A prime example of this approach was an early bundling test for Jira: a test that initially quadrupled signups but led to a dip in conversions. Instead of viewing this as a setback, the team and stakeholders embraced transparent communication to question assumptions and devise new tests. After several iterations, this approach yielded a resounding success, forming the foundation of the bundling strategy still in use today.

Core strengths

Data system architecture: Designing and implementing scalable data systems in AWS and GCP (including the Atlassian Marketing & Growth stack), ensuring data reliability, performance, and security. The system served as the model for product analytics.
ML & experimentation leadership: Establishing a culture of measurability by building experimentation platforms, processes, and teams while collaborating closely with champions across the organization. Achievements: $100m+ incremental ARR, substantial active user wins, and clear success criteria for new features.
Culture & team development: Mentored data science teams of up to 11, fostering ideals of innovation and continuous learning. This approach enabled development of innovative features while simultaneously increasing release cadence.

Experience

Head of Data Science

Bay View Analytics | 2023 - present

Led bio- and health-tech consulting, specializing in digital health, diagnostics, therapeutics, and education sectors
Provided strategic analytical guidance, resulting in successful FDA approvals and iterative ML solutions for enhanced efficacy and improved product/market-fit

Honorary Lecturer

UCSF | 2023 - present

Developed and delivered a new course on diverse data science applications using Python within UCSF’s Health Data Science Masters Program
Instructed students on various essential topics, including SQL, data cleaning, model creation & evaluation, computer vision, and creating an LLM from scratch

Director - Experimentation

1Password | 2022

Founded and led the Experimentation and Marketing Analytics department