Community Leadership

BIDS Best Practices in Data Science — Led this biweekly discussion series at the Berkeley Institute for Data Science for three years, bringing together over 30 core academic participants to collectively develop open science standards for how data-intensive research is conducted, documented, and shared, advancing reproducibility, transparency, and open-source practices across research teams. The series produced two peer-reviewed publications, Principles for data analysis workflows and Ten simple rules for clean scientific software, plus four preprints: Challenges in data-intensive team research, Fostering diversity and inclusion, Managing team turnover, and Resistance to adoption.

Data Science by Design (DSxD) — Co-founded and led this international organization of data scientists, artists, and designers dedicated to communicating data science visually and accessibly. I led the editorial and leadership team and served as lead PI on the grants we received, coordinating contributions from across the community. Together we brought over 200 people into online and in-person events and book clubs, and supported and funded the work of over 40 essays, works of art, and data science best practices. Our collective work has been published as two print books: Volume 1 — The Future of Data Science and Volume 2 — Our Environment.

The XDs: ImageXD & TextXD (BIDS) — Served as a lead organizer for the “XDs,” a series of cross-disciplinary data science conferences at the Berkeley Institute for Data Science that bring together researchers who share a common data type across otherwise disconnected fields. ImageXD (Image Analysis Across Domains) convenes scientists who work with images as a primary source of data (at scales ranging from microscopy to radio astronomy), while TextXD (Text Analysis Across Domains) unites computational, social, data, and information scientists, including linguists, working with text and natural language. I organized these multi-day gatherings of tutorials, hands-on “make” sessions, invited talks, posters, and panels, building lasting communities of practice around shared tools, methods, and open-source software.

Curiosity Data Project — Founded and directed this open tutorial platform exploring biodiversity and ecological data, from dinosaur fossils and 3D CT scans to Google Earth fire data and animal movement. Produced in collaboration with contributors and a team of UC Berkeley undergraduate researchers I mentored during 2018–2019.