New WiDS Podcast Episode:
Using AI to Fight the Climate Crisis
Priya Donti, Executive Director of Climate Change AI, explains multiple ways that machine learning and AI can be used to mitigate climate change. Her work at the intersection of climate change, computer science, and data science led her to co-found Climate Change AI, our partner for the WiDS Datathon 2023 challenge to improve long-term weather forecasting.
Tune in, and get inspired
Leading women in data science share their work, advice, and lessons learned along the way with Professor Margot Gerritsen from Stanford University and Cindy Orozco from Cerebras Systems. Hear about how data science is being applied and having impact across a wide range of domains, from healthcare to finance to human rights and more.
Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher, and Overcast.
WiDS Podcast Hosts:
Professor Margot Gerritsen
Margot Gerritsen was born and raised in the Netherlands, and after getting her PhD at Stanford, she.spent time in New Zealand in the Department of Engineering Science at the University of Auckland, returning to Stanford in 2001 as faculty member in Energy Resources Engineering. Margot specializes in the development of computational methods for renewable and fossil energy production. She is also active in coastal ocean dynamics and yacht design, as well as several other areas in computational mathematics including search algorithm design and matrix computations. Margot also Chairs the Board of Trustees for SIAM (Society for Industrial and Applied Mathematics).
Cindy Orozco Bohorquez
Cindy is an applied mathematician with experience in numerical modeling, data science, optimization, and parallel computing. She is originally from Colombia, where she did a bachelor's in civil engineering and mathematics from King Abdullah University of Science and Technology, in Saudi Arabia, and a Ph.D. in Computational and Mathematical Engineering from ICME at Stanford. She is passionate about teaching data science to a broad audience, including low-income Colombian high school students and decision-makers from Silicon Valley. She loves the support and camaraderie in the WiDS community. She works as a machine learning solutions engineer at Cerebras Systems.
Featured WiDS Podcast Episodes
Advocating for Diversity, Inclusion, and Ethics in AI
Timnit Gebru, formerly a research scientist and technical co-lead of Google's Ethical Artificial Intelligence Team, explains the importance of advocating for diversity, inclusion
and ethics in AI.
Aerobatic Pilot, Author, and Data Scientist
Cecilia Aragon, a professor in the Department of Human Centered Design & Engineering at the University of Washington in Seattle, explains how overcoming her fears to become an aerobatic pilot propelled her forward in her career as a data scientist, professor, and author.
Advocating for Indigenous Data Sovereignty
Tahu Kukutai, a professor at the University of Waikato in New Zealand and a Maori woman, is leading data sovereignty initiatives that advocate for indigenous data ownership, guardianship, and governance.
Researching Algorithmic Fairness and Casual Inference in Public Health
Allison Koenecke, currently a postdoc at Microsoft Research and soon to be assistant professor at Cornell, discusses her decision to pursue a career in academia focused on algorithmic fairness and casual inference in public health.
Building Bridges Between Business and Academia
Karina Edmonds, Global Head of Academies and University Alliances at SAP, has spent her career building bridges between business and academia. She is passionate about promoting fairness in data science by bringing more young people, women, and underrepresented groups into the field.
Applying Machine Learning to Understand and Improve Health
Marzyeh Ghassemi, an assistant professor at the University of Toronto, is focused on Healthy ML--applying machine learning to understand and improve health.
Applying Data Science for the Public Good in Lebanon
Fatima Abu Salem, a professor at the American University of Beirut, talks about how the conflict in the region has shaped her life journey and motivates her to apply data science for the public good to address challenges in Lebanon.
Bringing an Economics Perspective to Data Science
Susan Athey, Economics of Technology Professor at the Stanford Graduate School of Business, brings an economist's expertise and perspective to machine learning and data science.
The Intersection of Arts and Technology
Andrea Gagliano, Head of Data Science, AI and Machine Learning at Getty Images, works at the intersection of art and technology -- using machine learning to inspire creativity, and the arts to comprehend technology.
"I started listening to this podcast recently and am totally captivated. As someone attempting to begin a career in data science, I find the range of topics covered inspiring in terms of helping me build awareness of the many different ways data science can be applied...I can't wait to hear more!"
-- Boggle Queen, Apple Podcast Review
- Priya Donti | Using AI to Fight the Climate Crisis
- Lesly Zerna | Teaching and learning data science in Latin America (Spanish)
- Leda Braga | Applying data science to investment strategies
- Jessica Bohórquez | Using AI for leak detection in water pipelines (Spanish)
- Karolina Urbanska | Using data science to study human behavior
- Cindy Orozco | Welcoming our new podcast host, Cindy Orozco
- Tahu Kukutai | Advocating for indigenous data sovereignty
- Allison Koenecke | Researching algorithmic fairness and causal inference in public health
- Karina Edmonds | Building bridges between business and academia
- Fatima Abu Salem | Applying Data Science for the Public Good in Lebanon
- Louvere Walker-Hannon | Gaining skills and overcoming barriers to a career in data science
- Menglin Cao | Data science in fintech and financial services
- Karen Hao | Covering AI and Ethics Washing in the Tech Industry
- Cecilia Aragon | Aerobatic Pilot, Author and Data Scientist
- Kristian Lum | Applying Statistics to Promote Fairness and Transparency
- Lillian Carrasquillo | Using Human-Centric Data Science at Spotify
- Femke Vossepoel | Applying Data Assimilation Tools to COVID Forecasting Models
- Francesca Dominici + Rachel Nethery | Using Data Science to Study Air Pollution Effect on COVID-19 Outcomes
- Manisha Desai | The Importance of Data Integrity in COVID-19 Clinical Trials
- Newsha Ajami | Improving Urban Water Systems Through Data Science, Public Policy and Engineering
- Andrea Gagliano | The Intersection of Arts and Technology
- Ya Xu | Using Data To Create Economic Opportunities For All Members Of Global Workforce
- Susan Athey | Bringing an Economist’s Perspective to Data Science
- Montse Medina | Lessons Learned Building a Data Science Startup
- Bonus Episode: Margot Gerritsen | How to Get More Women Into Data Science
- Timnit Gebru | Advocating for Diversity, Inclusion and Ethics in AI
- Christiane Kamdem + Lama Moussawi | WiDS Ambassadors Bring Education and Role Models to their Communities
- Sherrie Wang | Applying Machine Learning to Solve Global Food Security Challenges
- Marzyeh Ghassemi | Applying Machine Learning to Understand and Improve Health
- Shir Meir Lador | Using Data Science to Keep Financial Data Secure
- Natalie Evans Harris | Creating A Shared Code Of Ethics To Guide Ethical and Responsible Use of Data
- Meltem Ballan | Mission Impossible, Fingerprint Recognition, and Connected Cars
- Chiara Sabatti | Algorithms and the Human Genome
- Elena Grewal | From Education to Head of Airbnb Data Science
- Sonu Durgia | Optimizing the Online Shopping Experience
- Megan Price | Data Science and the Fight for Human Rights
- Eileen Martin + Nilah Monnier Ioannidis | Data in Seismology and Genomics Research
- Janet George | The Multifaceted World of Data Storage
- Jennifer Widom | Math, Computers, & Music
- Caitlin Smallwood | Data-Driven Video Content
- Jennifer Chayes | Eliminating Bias
WiDS Podcast Impact
The WiDS Podcast is a collaboration led by the WiDS Worldwide team at Stanford Data Science and the WiDS Podcast committee.