エピソード

  • How Real Leaders Help Their People Grow Professionally and As a Person
    47 分
  • Clinical Development of Gene Therapies
    29 分
  • Statistical Topics in Gene Therapy
    2024/11/04
    What if we could target genetic diseases at their root, offering lifelong cures instead of temporary solutions? And what role do statisticians play in making this breakthrough possible? In this episode of The Effective Statistician, I dive into the fascinating world of gene therapy—an area packed with both promise and complexity. I'm thrilled to finally cover this revolutionary field with two expert guests, Avery McIntosh from Pfizer and Alex Sverdlov from Novartis. Together, we break down the science behind gene therapies, explore the ethical and logistical challenges, and reveal how statisticians drive these life-changing treatments forward. So, how close are we to curing diseases through gene therapy? Let’s jump in and find out.
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    43 分
  • Clinical Development Plans
    2024/10/28
    What does it take to create an effective clinical development plan? How do our early decisions shape the path of a compound through clinical phases? And how can statisticians actively balance the demands of science, speed, and cost in drug development? In this special 400th episode of The Effective Statistician, I dive into these questions with Carrie Li, a biostatistics expert whose career spans both big pharma and startups. Carrie shares how she builds clinical development plans from scratch, collaborates with cross-functional teams, and uses statistical expertise to create strategies that drive both scientific and commercial success. Join us as we explore the impact statisticians have on the clinical development journey.
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    36 分
  • The Most Important Things You Need to Know About AI And ML
    2024/10/21
    Have you wondered how large language models (LLMs) like ChatGPT are transforming the way we work? How can AI tools boost efficiency in statistics and pharmaceutical research? In this episode of The Effective Statistician, I talk with Pietro Mascheroni from Boehringer Ingelheim to answer these questions. Pietro, a physicist, shares how LLMs are being used in real-world applications, from simplifying document retrieval to enhancing data exploration and refining code. We dive into why it’s crucial to maintain human oversight, how AI can improve team communication, and the challenges in validating these models. If you're eager to learn how AI can revolutionize your work or help you stay ahead in this fast-paced field, tune in to this insightful episode!
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    45 分
  • Can Statisticians Contribute to Moving Out of The Statistics Function?
    2024/10/14
    Are you a statistician looking to expand your career beyond the statistics department? Do you want to know how your data expertise and strategic thinking can open new doors? In this episode of The Effective Statistician podcast, I sit down with Swarna Khare, who made that leap and found success in strategic roles across the industry. We explore her journey, discussing how statisticians can leverage their skills to create a bigger impact outside of technical roles. If you're ready to take your career to the next level, this episode is packed with actionable insights to help you step beyond the statistics function and into new opportunities.
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    41 分
  • How Notion Can Help You With Productivity
    2024/10/07
    Are you trying to boost your productivity and organize your tasks more efficiently? In this episode of The Effective Statistician, I talk with Taina Pereenniemi about how Notion can help you take control of your workflows. Taina shares how she transformed her own productivity by using Notion to manage tasks, projects, and collaboration all in one place. We dive into how you can start using Notion right away to simplify your work and personal life. Plus, get a preview of Taina’s upcoming workshop at the Effective Statistician conference, where she'll guide participants through setting up their own Notion systems.
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    33 分
  • Statistical Software Engineering
    2024/09/30
    What can statisticians gain from the world of software engineering? How can coding practices from companies like Google help us enhance the quality of statistical work in the pharmaceutical industry? In this episode of The Effective Statistician, I talk with Daniel Sabanés Bové to explore these questions. Daniel walks us through his career, from working as a biostatistician at Roche to becoming a data scientist at Google, and shares why he returned to healthcare. We discuss how applying software engineering principles—like clean coding, automation, and collaboration—can transform the way statisticians work. If you want to improve your coding skills and efficiency using open-source tools and better workflows, this conversation with Daniel offers practical insights and a glimpse into his new consulting venture, RCONIS.
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    38 分