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Contenido proporcionado por Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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Applying topological data analysis and geometry-based ML

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Manage episode 402431875 series 2706384
Contenido proporcionado por Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.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 episodios

Artwork
iconCompartir
 
Manage episode 402431875 series 2706384
Contenido proporcionado por Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.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 episodios

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