The Data Science Education Podcast

This episode features an interview with Adam Yala, an AI researcher and professor, discussing his work at the intersection of AI and healthcare, including his role at UC Berkeley/UCSF and his startup Voyo, with a focus on improving clinical care and addressing diseases like pancreatic cancer.

This episode features a conversation with hosts of 'My Robot Teacher' about how their backgrounds in mathematics and English literature inform their perspectives on AI in education.

This episode features an interview with Fernando Pérez, discussing his journey from physics to creating Python and the Jupyter project, and his role in data science education.

This episode features an interview with Henry Bowe from Hack the Hood, discussing his journey from mechanical engineering to data science education and his work with the organization.

This episode features an interview with Tim Harford, an economist and author, discussing his journey into data science and his work in making the field accessible to the public through books and media.

This episode features an interview with Jeremy Tuloup about JupyterLite, a browser-based tool from Project Jupyter that aims to increase access to interactive computing for data science educators.

This episode features an interview with UC Berkeley professor Lisa Yan discussing her role in data science education, teaching gateway classes, and building community in the field.

This episode features an interview with Jevin West, an associate professor and co-founder of the Center for an Informed Public, discussing how to incorporate analysis of misinformation into data science education and practice.

This episode features an interview with Kari Jordan, executive director of the Carpentries, discussing the organization's transition to an independent nonprofit and its mission to provide equitable data science education globally.

This episode features an interview with Suzanne Sindi, a professor and data science educator at UC Merced, discussing her work on launching a new data science major and developing inclusive educational materials through collaborative projects.

This episode features an interview with Camila Larripa, a professor and data science program lead at Cal Poly Humboldt, discussing her background in mathematical biology and the rollout of a new data science major at the university.

This episode features an interview with Allison Theobold, an assistant professor at Cal Poly, discussing her journey into data science education and the importance of empathy in teaching.

This episode features an interview with Kyla Oh, a former patent attorney turned community college dean, discussing her nontraditional path and how community colleges are expanding access to data science education, particularly for underrepresented students.

This episode features an interview with Lauren Klein, a professor with a joint appointment in data science and English, discussing her journey into digital humanities and how she bridges these fields.

This episode features recent data science graduates discussing their career paths and how they apply their education in roles like data analysis at companies such as Principal.

This episode features an interview with Paul Groth, a professor of data science at the University of Amsterdam, discussing his journey and insights into data science education and the AI revolution in the field.

This episode features an interview with Hannah Kurzweil about her journey from chemical engineering to data science education and community building, highlighting her upcoming panel at JupyterCon.

This episode features a conversation with Mike Ludkovski and Alex Franks from UC Santa Barbara, discussing their interdisciplinary backgrounds and pathways into data science education and teaching.

This episode features an interview with Jade Benjamin-Chung about incorporating data science techniques into epidemiology research and education, discussing her academic journey and the importance of computational methods in public health.

This episode features an interview with Judith Canner, a statistics professor at Cal State Monterey Bay, discussing her journey from biomathematics and zoology to data science education and her perspectives on curriculum reform and social impact.

This episode features an interview with Tasha Snow, a researcher who combines earth science, machine learning, and cloud computing to make NASA's snow and ice data more accessible through tools like CryoCloud.

This episode features Stanford educators Dennis Sun and Mallory Nobles discussing their backgrounds and the development of Stanford's new undergraduate data science degree programs.

This episode features Dr.

This episode features an interview with Solomon Russell, a professor at El Camino College, discussing his work in data science education, reducing textbook costs, and bringing data science to community colleges.

This episode features recent UC Berkeley data science graduates discussing their transition into data journalism careers, starting with Ian Castro's background and journey.

This episode features high school math teacher Dash Young-Saver discussing his approach to transforming math education by replacing contrived textbook examples with real-world topics like gerrymandering and social issues to engage students from diverse backgrounds.

This episode features an interview with Camilo Andrés De la Cruz Arboleda, who discusses his transition from studying law to working in data science education and applied roles in Colombia.

This episode features an interview with Langdon White from Boston University, discussing his transition from 15 years in software consulting to developing inclusive data science education programs including undergraduate majors and online master's degrees.

This episode features an interview with Rachel Saidi, a professor at Montgomery College, discussing her career evolution and role in developing data science education pathways at a community college.

This episode features an interview with mathematician David Uminsky discussing his transition from pure to applied mathematics and his current work at the intersection of mathematics and data science education.

This episode features an interview with sociologist David J.

This episode features an interview with Dr.

This episode features an interview with Nathalie Guebels, a computer science professor at Santa Barbara Community College, discussing her journey from electrical engineering to academia and how she empowers community college students through data science education.

This episode features alumni Alan Liang discussing his role as a student in building UC Berkeley's undergraduate data science program and his current work as a senior data scientist at Boston Consulting Group.

This episode features an interview with Professor Omayra Ortega about her interdisciplinary journey from mathematics and music to data science education, highlighting the intersectionality of these fields.

This episode features an interview with Denise Hum about her work creating alternative data science pathways at Skyline College to broaden STEM access for underrepresented students.

This episode features an interview with Crystal Wiggins about developing and implementing data science programs at two-year community colleges in Connecticut.

This episode features an interview with Min Ragan-Kelley discussing the early history and development of JupyterHub in the context of data science education at UC Berkeley.

This episode features an interview with Carrie Diaz Eaton discussing the intersection of data science and social justice, focusing on educational initiatives and research programs.

This episode features a conversation with transfer student Avani Gireesha about her experience transitioning from Diablo Valley College to UC Berkeley's data science major, highlighting the challenges of meeting requirements and discovering the interdisciplinary nature of the field.

This episode features an interview with Professor Juan Gutierrez discussing the integration of data science, mathematical biology, and social justice in education and research.

This episode features an interview with Mikahl Banwarth-Kuhn from Cal State East Bay about rethinking calculus education to better serve data science students.

This episode features an interview with Professor Uma Ravanasamudram about using data science for social justice to increase participation from historically marginalized communities in STEM fields.

This episode features a conversation with Ashley Cotterio, a UC Berkeley data science graduate now pursuing a PhD in Learning Sciences at Northwestern University, discussing her transition from undergraduate studies to graduate education and career path in data science.

This episode features an interview with Karle Flanagan and Wade Fagen-Ulmschneider discussing the creation and impact of STAT 107, an introductory data science course at the University of Illinois designed to be accessible without prerequisites.

This episode features an interview with Ani Adhikari, a pioneering data science educator at UC Berkeley, discussing her background in probability theory and her approach to data science education.

This episode features an interview with Micaela Parker, founder of the Academic Data Science Alliance, discussing her background, the organization's mission to support data science educators and practitioners, and insights into job sharing in academia.

Hosts Eric and Nabiha interview Kagba Soiree, a professor at Cal State Long Beach, about his work in data science education and teaching calculus for data science.

This episode features an interview with Sarah Stone, Executive Director of the E-Science Institute at the University of Washington, discussing the institute's role as a pioneering data science hub and its efforts in fostering interdisciplinary collaboration and education for social good.

Hosts Eric and Kalechi from UC Berkeley interview Sammy Rauscher, a digital product manager at Converse, about her role applying data science skills in industry, focusing on web analytics and the gap between academic training and practical tools.

Hosts Eric Van Dusen and Kalechi Nebedam from UC Berkeley interview Vic Gopal and David Gopal from the National University of Singapore about preparing data science undergraduates for industry roles, focusing on curriculum design and practical skills.

An interview with a curriculum designer about her experience teaching in Title I schools and her work in equitable digital curriculum.

An interview with a research professor about her work in AI and data science, aimed at shaping the future of data science education.

An interview with a professor about building a large-scale data science course at UC San Diego.

An interview with Zarek Drozda about bringing data science education to K-12, hosted by UC Berkeley's Data Science Undergraduate Studies.

An interview with Jim Colliander about data science education initiatives and platforms.

An interview with Nick Horton about his work in data science education and integrating computation into statistics curricula.

An interview with Rajesh Gupta about building a data science program at UC San Diego.

An interview with Chris Holdgraf about his work in open source data science communities and Jupyter infrastructure at UC Berkeley.

An interview with data scientist Byron Chu about his journey into data science education and his work on the Callisto project.