Data nerd, dot connector, always up for a challenge! Believes in people and adores finding do-gooders who want to bring their skills to civic tech.

Endlessly interested in tech and society. Specializing in AI governance and currently researching Responsible AI, the global AI regulatory landscape, and the potential for harmonizing ethical AI standards in the public sector. Experience working in Big Tech to actualize experimental governance frameworks and former AI Trust Officer at the Federal Energy Regulatory Commission. Tech policy wizard.

Generalist data scientist with a background in analytics, machine learning, and cloud implementation. Experience working in federal government, non-profit, and start-up sectors.

Generalist software and machine-learning engineer focused on the mainstream adoption of privacy-enhancing technologies. Experience working at small startups, large corporations, research institutions, and open-source communities.

Quality Engineer turned Data Engineer fascinated with finding means to improve data insights and usability through auditing, governance, and engineering. Experience working in aerospace manufacturing, renewable energy, management consulting, and federal government.

Tech Lead formerly DevOps and Infrastructure.

Senior technical leader with experience in strategic planning, policy, & governance. Expertise in data and AI governance/policy, global AI regulatory landscape, data privacy, risk assessment, and certification/accreditation. Focused on maximizing the benefits of technology for public good while minimizing the potential risks. Experience working with startups, big tech companies, academia, non-profit sector, boards/advisory groups, and international organizations.

CoFounder and honored to be leading xD. Committed to creating paths for amazing people to contribute to the public good via emerging technology applications and institutionalizing experimentation.

Data Scientist with a focus on data and AI ethics. Experience working on energy efficiency analytics, IoT and machine learning sonification at startups and large tech companies.

Interdisciplinary researcher focused on sociotechnical approaches to "AI"/ML design, development & governance. Experience working on Machine Learning in government, academia & start-ups.

Human-computer interaction researcher focused on social computing, human-AI interaction, responsible AI, and public interest technologies.

Strategist and builder of programs and organizations. Experience working in academia, nonprofit, and for profit sectors.

Researcher, machine learning practitioner, and lapsed particle physicist focused on the societal impacts of AI and responsible AI development. Loves working at the intersection of technical implementations, policy, and social science. Experience working on machine learning at startups, big tech companies, government contractors, and academia.

Generalist Data Scientist with experience in machine learning, analytics, and technical management across healthcare, enterprise cloud, consumer retail and advertising industries in both enterprise and start-up environments. Adjunct Professor for Applied AI and Data Science MS programs. Interested in evaluation and governance around consumer facing large language model-based experiences.