Hosted by Eduardo Arino de la Rubia, Instagram
Technologist and Data Scientist driven to create software that people use, find useful, and pleasant. From programming through architecture, from green field to maintenance, software is interesting technologically, socially, and intellectually. I enjoy contributing to the process, either through leadership or individual effort, of creating software that is deployed joyfully and is as bug free as possible
Hilary Parker is a Data Scientist on the styling recommendations team at Stitch Fix, a personal styling service that uses a combinations of human stylists and algorithmic recommendations to help people find what they love. At Stitch Fix, she focuses on what sorts of data to collect from clients in order to optimize clothing recommendations, as well as building out prototypes of algorithms or entirely new products based on new data sources. She is also a co-founder of the Not So Standard Deviations podcast, a bi-weekly data science podcast with Roger Peng that has over half a million downloads. Their topics of discussion include the R ecosystem, recent developments in the data science and statistics field, reproducibility and the "how" of how data scientists and statisticians work. Hilary recently authored the paper Opinionated Analysis Development based on discussions from the podcast. Prior to her career in the tech field, Hilary received her PhD in Biostatistics from Johns Hopkins School of Public Health. She lives at the San Francisco Zen Center with her partner, a Soto Zen Priest. In her free time, she enjoys exploring her home of 2 years, San Francisco.
Karthik is a data science fellow at the Berkeley Institute for Data Science at Berkeley UC Berkeley and an research scientist at the Berkeley Initiative for Global Change Biology.
He graduated with a PhD in Ecology and Evolution from UC Davis and has since held postdoc positions at UC Santa Cruz and UC Berkeley. Karthik is also an active member in the open science and reproducible research community and contribute to various projects including Software Carpentry and Data Carpentry.
My projects have gone on to earn accolades such as INFORMS’ Edelman Award for Achievement in Operations Research and the Management Sciences; and the Massachusetts Innovation & Technology Exchange award for Big Data and Analytics Innovations.
I discovered data science while studying Math at MIT, only it wasn't called that yet. Over the past two decades I have learned to lead data teams in academic, commercial, and industrial applications. I have three patented inventions, as well as dozens of patent applications currently pending in the US, the EU, and Australia.
Tracy Teal has been working with open source communities as a developer, instructor and project leader throughout her career. As a PhD student at Caltech and then as an Assistant Professor in bioinformatics at Michigan State University, she saw that the bottleneck to discovery was no longer data production, but the skills and perspective to work with data. She went on to co-found Data Carpentry to scale data training along with data production and then became Executive Director of The Carpentries, continuing to develop open curriculum and an inclusive instructor community. She is currently the Open Source Program Director at Posit where she is passionate about supporting open source developers and expanding access to tools that help people use data to answer the questions that are important to them.