Recent Stanford Grad Bianca Yu Discusses How Role Models Help Young Women Imagine Their Own Futures5/10/2021
 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.
Wells Fargo Digital Leader and WiDS Advisor Believes Data Science is a “Generational Opportunity”2/25/2020
 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.
 Aseel Al-Mesad is a WiDS Ambassador in Kuwait City where she is also the organization manager for the Women Data Community (WDC). Being a WiDS Ambassador has expanded Aseel’s skills, confidence and professional network, and deepened her commitment to empower women in data science.
 Talia Tron attended her first WiDS conference in Israel after hearing about it during a job interview with Intuit. Her experience at this conference sealed her decision to join Intuit and introduced her to a dynamic and growing community of talented female data scientists. She is now a senior data scientist and researcher leading Intuit’s work on explainable AI as part of the Intuit AI Technology Futures team and leader of Intuit’s Innovation Catalyst community in Israel.
 Sarah Rice, a senior information architect, is thrilled with how WiDS provides role models and inspiration for young women entering the field of data science. While she personally had an early aptitude for math, her early college environment did not encourage women to pursue math and computer science. Instead she studied social sciences and went on to earn her Master’s degree in Library and Information Sciences. She now combines those two disciplines in her consulting work in user experience design.
 After participating in the 2019 WiDS Datathon, Dorothy Ewuah felt empowered, connected and inspired to pursue her studies and career in data science. Dorothy just graduated with a degree in Information Technology from the University of Ghana Legon. She wrote a blog post about her experience collaborating with two other team members from Ghana in the WiDS Datathon.
 Rania Ahmed says WiDS has provided her with the confidence, skills and a network to take charge of her data science career. She holds an M.A. in Urban Affairs from the University of San Francisco and a B.S. in Urban Planning from Cairo University in Egypt. Rania is an alumnus of the first Wellesley College’s cohort of Women in Public Service Project (WPSP) and has been a Stanford University Women in Data Science (WiDS) Ambassador since 2018. She is currently a Research Associate at Urban Strategies Council, where she uses data science to develop policy recommendations for the public good in the San Francisco Bay Area.
 Chi Zhang is from Xi’an China and currently a PhD student in Biostatistics at the University of Oslo in Norway. She journeyed from China to the UK for her master’s degree and then to Norway for her PhD studying machine learning with a focus on Electronic Health Records. Throughout her life, she has been unafraid to try new things, and work hard through trial and error. Chi attended WiDS Oslo in April 2019, and was so inspired by her learning that she published this blog post.
 Ankita Sharma grew up in Mumbai, studied electrical engineering in college and then moved to Singapore to work for a FinTech startup. While doing research about data science, she came across a WiDS video on YouTube that became a catalyst for her journey to post-graduate work at Stanford and launching a career at Microsoft in data science.
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