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Content provided by Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
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Applying topological data analysis and geometry-based ML

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Manage episode 402431875 series 2706384
Content provided by Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

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 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, The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R.

Mentions:

Connect with Colleen Farrelly on LinkedIn

Related Links:

The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R

Connect with Us

Margot Gerritsen on LinkedIn

Listen and Subscribe to the WiDS Podcast on Apple Podcasts,Google Podcasts,Spotify,Stitcher

  continue reading

52 episoade

Artwork
iconDistribuie
 
Manage episode 402431875 series 2706384
Content provided by Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

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 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, The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R.

Mentions:

Connect with Colleen Farrelly on LinkedIn

Related Links:

The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R

Connect with Us

Margot Gerritsen on LinkedIn

Listen and Subscribe to the WiDS Podcast on Apple Podcasts,Google Podcasts,Spotify,Stitcher

  continue reading

52 episoade

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