Iryna Ivanenko Explains How Her Love of Coding Competitions Led Her to the WiDS Datathon and a Second Place Prize in 2020
Iryna Ivanenko, second place winner of the WiDS Datathon 2020, is a data science and machine learning developer and former WiDS ambassador from Kyiv, Ukraine.
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.
To commemorate Juneteenth, we are reaching out to clearly state our actions and intentions in response to recent events. In the past weeks and months the US and the world have been reeling–first with a global pandemic, followed by the systemic injustice, inequality, and racism that the pandemic and most recent acts of police brutality exposed.
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.
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.
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.
WiDS Ambassador Inspires Women Across Colombia to Learn About and Pursue Opportunities in Data Science
Catherine Li, Digital Leader for Wells Fargo’s ATM and Branch Technology where she is responsible for digital transformation strategy and implementation, has been a trusted WiDS advisor and moderator over the past few years. WiDS has introduced Catherine to many inspiring women in data science and has provided a platform to promote the field of data science, inside and outside of Wells Fargo.
Twin Sisters, Inspired by WiDS Event in Mumbai, Become WiDS Ambassadors in Jersey City Where They are Currently in Grad School
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.
The 2nd Place Winners of the 2019 WiDS Datathon “Full Fuego” Collaborated Across Countries and Generations