The first-ever Data Leadership Cohort is designed to provide an opportunity for emerging data leaders to meet, learn, and build connections with each other as they work through challenges and opportunities in governing data resources, designing data-intensive platforms, and procuring data systems.

Fenris worked with the Global.health leadership team to help align product development with long-term strategic objectives and to deliver value for the sector.

Fenris partnered with the Society for Medical Decision Making (SMDM) and Rockefeller Foundation to help a cohort of academic research teams better meet the needs of state and local decision-makers for actionable insights from epidemiological, economic and operational data models.

I worked with the Electricity Growth and Use in Developing Economies (e-GUIDE) Initiative to help set objectives, design an approach and implement a first version of their public-facing API.

I helped a US public policy think tank to define objectives and roadmaps for a multi-stakeholder initiative that advances public discourse surrounding property rights insecurity and loss in the United States.

Fenris worked with Project ECHO to provide mentorship on product strategy, build metrics, and develop reusable assets for dashboards.

I led a team at The Data Guild to design and champion a platform for clinical trials to address stagnation and vendor lock-in within compliance and regulatory constraints.

We helped a California county design governance and infrastructure to improve data collection, analysis and information sharing across agencies and contracted service providers towards improved reentry services and reduced recidivism.

A working peer-to-peer residential energy trading marketplace helped us understand user pains, preconceptions and motivations for trading excess energy with others.

The Data Guild advised on strategic approach to develop new market opportunities for a medical device company in the wearable space.

The Data Guild helped develop and assess models and key performance indicators (KPIs) for energy usage. Designed methods to measure change after some event (causal inference) using counter-factuals, and corresponding uncertainty.

The Data Guild consulted on the development of a malfunction and theft detection system for energy utility providers.