Applying topological data analysis and geometry-based ML
Women in Data Science
by Colleen Farrelly, Professor Margot Gerritsen
1w ago
  Highlights:   00:02:25 - Colleen’s motivation for writing a book, interdisciplinary collaborations, and explaining advanced mathematical tools in accessible ways. 00:08:44 - Journey from biology and social sciences to data science, and the integration of different mathematical tools in solving data problems. 00:14:13 - Overcoming imposter syndrome and the value of exploring beyond one's field. 00:15:02 - The importance of mentorship. 00:23:40 - Coping strategies for setbacks in academia and industry. About the Guest: Colleen Farrelly is an author and senior data scientist. Her re ..read more
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Using Curiosity, Mentorship, and Education to Build a Career
Women in Data Science
by Avalon Baldwin, Chisoo Lyons
1M ago
Summary: Listen to the incredible and inspiring journey of Avalon Baldwin’s career journey. A self-described data nerd, she was not only the first in her family to attend college, she went on to get a graduate degree. Today she is an entrepreneur running her own consulting company. In conversation with Chisoo Lyons, Avalon shares how curiosity, mentorship, and coaching made a difference in her life.   Highlights:  (06:18): Exploring factors like how data is collected, the intention behind collecting a specific data point instead of another one, and how they can influence analysis and ..read more
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Sonu Durgia | Optimizing the Online Shopping Experience
Women in Data Science
by Professor Margot Gerritsen
1M ago
Consumers know Walmart as a retailing giant that has changed the face of retail in communities across America. But with a data store containing billions of queries and items, it’s also a laboratory for the company’s data scientists and IT professionals who mine and manage it. “We have data scientists embedded in every single team within the company,” says Sonu Durgia, group product manager for search and discovery at Walmart Labs. “Every function at Walmart, from the quality of groceries to the supply chain, has data science embedded in it,” she noted during an interview recorded for the Women ..read more
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Fighting Crypto Crime with Data Science
Women in Data Science
by Kim Grauer, Professor Margot Gerritsen
3M ago
In this episode, Margot Gerittsen speaks with Kim Grauer. Kim is the Director of Research at Chainalysis, where she examines trends in cryptocurrency economics and crime. Listen as she talks about her obsession with fighting fraud in the cryptocurrency market. Highlights: What is crypto crime Trust in stable coin Misconceptions around cryptocurrency Using data and data science in fighting fraud   About the Guest: Kim is the Director of Research at Chainalysis, where she examines trends in cryptocurrency economics and crime. She was trained in economics at the London School of Economics ..read more
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Ya Xu | Using Data To Create Economic Opportunities For All Members Of Global Workforce
Women in Data Science
by Professor Marot Gerritsen
3M ago
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. 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. LinkedIn’s fairness mission is that two people with equal talent should have an equal shot at opportunities. To reinforce this, they consta ..read more
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Using Storytelling to Communicate with Stakeholders
Women in Data Science
by Michelle Katics, Chisoo Lyons
3M ago
Michelle Katics, CEO  and co-founder of  BankersLab, discusses her journey in risk management training and the importance of integrating technical skills with business and soft skills. She shares her experience in helping banks navigate complex regulations and the need for training to improve understanding and decision-making. Katics emphasizes the importance of storytelling and simplifying complex concepts to effectively communicate with stakeholders. She also highlights the need for women to participate in data science and entrepreneurship, and encourages everyone to continue learn ..read more
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Welcoming our new podcast co-host, Cindy Orozco
Women in Data Science
by Professor Margot Gerritsen, Cindy Orozco
3M ago
EPISODE NOTES WiDS Executive Director Margot Gerritsen welcomes her new co-host, Cindy Orozco, in a wide-ranging conversation about their career paths and valuable learnings along the way.  Cindy is thrilled to be joining as podcast co-host and believes that showcasing women at all stages of their careers shows that we “share the same fears or experiences every day. It's just that some of us have been on the path a little bit longer than others.”  Cindy is an applied mathematician who is currently working as a machine learning solutions engineer at Cerebras Systems. Originally from C ..read more
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Using storytelling to communicate with stakeholders
Women in Data Science
by Michelle Katics, Chisoo Lyons
4M ago
Michelle Katics, CEO of BankersLab and co-founder of Woomentum, discusses her journey in risk management training and the importance of integrating technical skills with business and soft skills. She shares her experience in helping banks navigate complex regulations and the need for training to improve understanding and decision-making. Katics emphasizes the importance of storytelling and simplifying complex concepts to effectively communicate with stakeholders. She also highlights the need for women to participate in data science and entrepreneurship, and encourages everyone to continue lear ..read more
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Newsha Ajami | Improving Urban Water Systems Through Data Science, Public Policy and Engineering
Women in Data Science
by Professor Margot Gerritsen
4M ago
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.  This in ..read more
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Manisha Desai | The Importance of Data Integrity in COVID-19 Clinical Trials
Women in Data Science
by Professor Margot Gerritsen
5M ago
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 this podcast, she provides some insights into the challenges and progress of COVID-19 clinical trials. When COVID happened, Manisha knew her team’s expertise in clinical trials would allow them to get up to speed quickly to study this new disease. So, she augmented her team with additional data science exp ..read more
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