<p> </p><h1>Highlights:</h1><p> </p><ul><li>00:02:25 - Colleen’s motivation for writing a book, interdisciplinary collaborations, and explaining advanced mathematical tools in accessible ways.</li><li>00:08:44 - Journey from biology and social sciences to data science, and the integration of different mathematical tools in solving data problems.</li><li>00:14:13 - Overcoming imposter syndrome and the value of exploring beyond one's field.</li><li>00:15:02 - The importance of mentorship.</li><li>00:23:40 - Coping strategies for setbacks in academia and industry.</li></ul><h1><strong>About the Guest:</strong></h1><p>Colleen Farrelly is an author and senior data scientist. Her research has focused on network science, topological data analysis, and geometry-based machine learning. She has a master's from the University of Miami and has experience in many fields, including healthcare, biotechnology, nuclear engineering, marketing, and education. Colleen wrote the book, <i>The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R</i>. </p><p> </p><h1>Mentions:</h1><p>Connect with Colleen Farrelly on <a href="https://www.linkedin.com/in/colleenmfarrelly/">LinkedIn</a></p><p> </p><h1>Related Links:</h1><p><a href="https://www.amazon.com/Shape-Data-Geometry-Based-Learning-Topological/dp/1718503083"><i>The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R</i></a></p><p> </p><h1>Connect with Us</h1><p>Margot Gerritsen on <a href="https://www.linkedin.com/in/chisoo-lyons-719a86">LinkedIn</a></p><p>Listen and Subscribe to the WiDS Podcast on <a href="https://podcasts.apple.com/us/podcast/women-in-data-science/id1440076586?mt=2">Apple Podcasts</a>,<a href="https://podcasts.google.com/?feed=aHR0cHM6Ly9yc3Muc2ltcGxlY2FzdC5jb20vcG9kY2FzdHMvODEyNC9yc3M%3D">Google Podcasts</a>,<a href="https://open.spotify.com/show/0eaFZXUh8qys3c0Wr3vrA3">Spotify</a>,<a href="https://www.stitcher.com/podcast/women-in-data-science-wids">Stitcher</a></p>


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