Women in Data Science (WiDS) Conference
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Using Human-Centric Data Science at Spotify with Lillian Carrasquillo

12/3/2020

 
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Lillian Carrasquillo, Insights Manager for Spotify’s Personalized Home team, explains how her team uses human-centric data science to create personalized and meaningful experiences for Spotify's customers on a recent WiDS Podcast episode.

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Join us for WiDS 2021

11/2/2020

 
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Today, the Women in Data Science (WiDS) initiative celebrates its birthday! Five years ago we hosted the inaugural WiDS Conference at Stanford University. Our goals were the same then as they are now: to inspire women to join the field, educate participants regardless of gender, and support women in the field. In addition to the 400+ participants at Stanford for our inaugural conference, we discovered that 6,000+ people participated online. That made us realize that we had an opportunity for greater impact, worldwide. ​

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Applying Data Assimilation Tools to COVID Forecasting Models with Femke Vossepoel

10/27/2020

 
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Femke Vossepoel, Professor in Geoscience and Engineering at Delft University of Technology in the Netherlands, explains how data assimilation tools can be used to improve COVID-19 forecasting models, on a recent episode of the WiDS Podcast.

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Using Data Science to Study Effects of Air Pollution on Severity of COVID-19 Cases

8/20/2020

 
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With the onset of the COVID-19 pandemic, Francesca Dominici and Rachel Nethery of Harvard T.H. Chan School of Public Health saw a way to connect the research they were doing on air pollution and health with the pandemic. On a recent episode of the WiDS Podcast, they discuss how they are studying the effects of air pollution exposure on different causes of hospitalization to see if pollution could increase a person's vulnerability to COVID-19. While the research is at a preliminary stage, there is a lot of information that points towards the possibility that long-term exposure to air pollution could increase the mortality risk for COVID-19.


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The Importance of Data Integrity in COVID-19 Clinical Trials with Manisha Desai

7/16/2020

 
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Manisha Desai is a professor of medicine (research) and of biomedical data science, and director of the Quantitative Sciences Unit at Stanford University. She is an expert in the design and analysis of clinical trials and epidemiologic studies across multiple diseases, including COVID-19. In a recent episode of the WiDS Podcast, she provides some insights into the challenges and progress of COVID-19 clinical trials.


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Improving Urban Water Systems Through Data Science, Public Policy and Engineering with Newsha Ajami

6/3/2020

 
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Newsha Ajami is a hydrologist specializing in sustainable water resource management, water policy, the water-energy-food nexus, and urban water strategy. When she was studying hydrology in grad school, she took a water policy class that changed the trajectory of her career. "I would say that was one of the most important events in my professional career. I realized that laws and policies are what change the way we manage resources,” she says. All the data optimization and modeling means nothing unless you can understand the policy layer imposed on how our natural systems operate. ​


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The Intersection of the Arts and Technology with Andrea Gagliano

5/14/2020

 
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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. She speaks with Professor Margot Gerritsen on the WiDS Podcast.


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Using Data To Create Economic Opportunities For All Members Of Global Workforce with Ya Xu

4/15/2020

 
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Ya Xu manages LinkedIn’s global team of data scientists that manage data science projects across the company’s products, sales, marketing, economics, infrastructure, and operations. On a recent episode of the WiDS Podcast, she says the company takes active responsibility over the data they collect to ensure fairness and protect privacy. They are very proactive about how they maintain their members’ trust, either with how they share the data externally or leverage the data to create opportunities.


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Bringing an Economist’s Perspective to Data Science with Susan Athey

1/16/2020

 
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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, during an in-depth conversation with Professor Margot Gerritsen on the Women in Data Science (WiDS) Podcast.


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Lessons Learned Building a Data Science Startup with Montse Medina

12/12/2019

 
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Montse Medina was pursuing her PhD at Stanford’s Institute for Computational and Mathematical Engineering (ICME) when she realized she had a great idea for a company. She left her graduate program to found Jetlore, a prediction platform that empowers retailers with AI-driven content, which was acquired by PayPal in 2018. Montse has since moved back to her native Spain as a partner for Deloitte where she is responsible for their advanced analytics and asset-enabled business. Montse discusses her lessons learned growing Jetlore with Margot Gerritsen, Stanford professor and host of the Women in Data Science (WiDS) Podcast.


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How to Get More Women Into Data Science with Professor Margot Gerritsen

11/14/2019

 
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It was in 2015 when Margot Gerritsen was asked to speak at a data conference with not a single other woman on the program that she knew that something had to be done to get women into the field. She tells the story of how WiDS got started, with Professor Russ Altman and host of Stanford Engineering’s Future of Everything podcast.


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Advocating for Diversity, Inclusion and Ethics in AI with Timnit Gebru

10/24/2019

 
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Timnit Gebru, 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 on the Women in Data Science (WiDS) Podcast.


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Applying Machine Learning to Solve Global Food Security Challenges with Sherrie Wang

9/12/2019

 
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Sherrie Wang, a fourth year PhD student at Stanford’s Institute for Computational and Mathematical Engineering (ICME), explains on the Women in Data Science (WiDS) Podcast how she applies machine learning methods to help solve global food security challenges.


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Applying Machine Learning to Understand and Improve Health with Marzyeh Ghassemi

8/28/2019

 
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Marzyeh Ghassemi, an assistant professor at the University of Toronto, is focused on Healthy ML — applying machine learning to understand and improve health.


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Using Data Science to Keep Financial Data Secure with Shir Meir Lador

8/15/2019

 
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Shir Meir Lador, data science team lead at Intuit in Israel, develops machine learning models for security, risk and fraud in products like Quickbooks, Turbo Tax and Mint. In addition to her job at Intuit, Lador is a WiDS ambassador in Israel, has her own podcast about data science, and is a co-founder of PyData Tel Aviv meetups.


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Creating A Shared Code Of Ethics To Guide Ethical and Responsible Use of Data with Natalie Evans Harris

8/1/2019

 
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Natalie Michelle Evans Harris, a leader on ethical and responsible use of data, explains on the Women in Data Science (WiDS) Podcast how building trust through a shared vision and data “code of ethics” is essential to promote both innovation and privacy.


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Mission Impossible, Fingerprint Recognition, and Connected Cars with Meltem Ballan

7/17/2019

 
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Meltem Ballan is a data scientist working on Connected Cars at General Motors. She brings multiple perspectives to her current work on Connected Cars — drawing on expertise in data science and neuroscience gained during her ever-changing career in academia, entrepreneurship and consulting.


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© 2020 Women in data science

  • Conference
    • Schedule 2021
    • Speakers 2021
    • Regional Events 2021
    • Ambassadors 2021
    • International Women's Day
    • Videos >
      • Videos 2020
      • Videos 2019
      • Videos 2018
      • Videos 2017
      • Videos 2015
    • Sponsors
    • Collaborators
    • Conference Committee
  • Datathon
    • Datathon Details
    • Datathon Workshops 2021
    • Datathon Resources
    • Excellence in Research Award
    • Datathon News
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Education Outreach Resources
    • Education Outreach Committee
    • Education Outreach Student Advisors
  • Blog
    • WiDStory
    • News
    • In honor of Juneteenth
  • Contact