Team Science!

12/02/24 • 27 min

In this episode we discuss how modern cancer research increasingly requires collaboration between traditional lab scientists and computational experts from the earliest stages of study design. The episode challenges the common misconception that data scientists only analyze data after collection, highlighting how early involvement of computational experts can strengthen experimental design and ultimately lead to more robust cancer research.

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Reproducibility as non-negotiable

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This podcast episode discusses the importance of reproducibility in modern cancer research and data science. Through interviews with experts like Dr. Roger Peng, Dr. Casey Greene, and Dr. Jaclyn Taroni, it explores how making research reproducible - by sharing code, data, and detailed documentation - not only helps verify scientific findings but also makes research more efficient and builds a stronger foundation for future discoveries in cancer treatment. The experts emphasize that while implementing reproducible practices requires upfront effort, it ultimately saves time and protects research integrity.

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The Business of Science

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This episode focuses on the often-overlooked administrative side of scientific research, particularly in cancer research. We talk to Sandy Ormbrek and Dr Anna Green about the complex world of grant administration and funding.
Special thanks to Maleah O'Connor for all the work she does to support the grants we work on!
Also a special thanks to Allison Peters, Denise Albano, Maria Owens and Sana Hirata for all they do!