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Leading women in data science share their work, advice, and lessons learned along the way. Hear how data science is being applied and having impact across domains— from healthcare to finance to climate change and more. Hosted by Professor Emerita Margot Gerritsen from Stanford University and Chisoo Lyons, Chief Program Director of Women in Data Science Worldwide.

Women in Data Science Professor Margot Gerritsen, Chisoo Lyons

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    • 5,0 • 1 Bewertung

Leading women in data science share their work, advice, and lessons learned along the way. Hear how data science is being applied and having impact across domains— from healthcare to finance to climate change and more. Hosted by Professor Emerita Margot Gerritsen from Stanford University and Chisoo Lyons, Chief Program Director of Women in Data Science Worldwide.

    The Power of Linguistics in Large Language Models and AI

    The Power of Linguistics in Large Language Models and AI

    Listen to Karin Golde, a linguistic expert and AI entrepreneur, as she discusses the rise of large language models (LLMs) and the impact of ChatGPT. Karin reflects on the unexpected popularity of LLMs and the role of OpenAI. The challenges and limitations of LLMs are discussed, including the need for human understanding emphasizing the need for diverse perspectives and cultural understanding in AI development. Karin shares her personal experience of using LLMs and highlights the importance of balancing innovation with regulation in the AI industry. Karin concludes the podcast sharing about her career journey and her recent transition to working as an independent consultant. She offers advice for women considering leadership roles and emphasizes the importance of thinking broadly about one's place in an organization.

    • 42 Min.
    Applying topological data analysis and geometry-based ML

    Applying topological data analysis and geometry-based ML

    Margot Gerittsen speaks with Colleen Farrelly, Mathematician at Post Urban Ventures and Author of The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R. Colleen is known for network science, topological data analysis, and geometry-based machine learning. This podcast covers the challenges and rewards of interdisciplinary work and her journey in the discipline of data science.

    • 28 Min.
    Using Curiosity, Mentorship, and Education to Build a Career

    Using Curiosity, Mentorship, and Education to Build a Career

    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.

    • 34 Min.
    Fighting Crypto Crime with Data Science

    Fighting Crypto Crime with Data Science

    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.

    • 33 Min.
    Using Storytelling to Communicate with Stakeholders

    Using Storytelling to Communicate with Stakeholders

    Michelle Katics, CEO and co-founder of BankersLab, emphasizes the significance of merging technical, business, and soft skills in risk management training. She stresses the value of simplifying complex ideas through storytelling and encourages women to engage in data science and entrepreneurship. Additionally, Katics highlights her involvement in volunteer work, urging collaboration and diversity to foster innovation and success.

    • 40 Min.
    Data Science Leadership: Creating Meaningful Impact

    Data Science Leadership: Creating Meaningful Impact

    In this episode, Mary Krone explores her career shift from a PhD in chemistry and biochemistry to data science, where she builds financial credit models. She highlights her work’s tangible impact and discusses the challenges of work-life balance.

    Mary’s passion for data science’s positive potential in finance shines through as she debunks misconceptions, talks about career paths, and dives into the evolving world of data science and generative AI.

    The episode also includes topics of the need for continuous learning and the blend of art and science in data science.

    • 43 Min.

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