Fae Gaze is a mathematician, data scientist, and machine learning researcher with degrees in mathematics, molecular biology, computer science, and data science engineering. She shares her journey into the world of math, data science, and machine learning and discusses the joy she finds in problem-solving and working with data.

The conversation also touches on mental health, the importance of breaking down complex challenges, and how algorithms can be applied in research and life. Fae’s inspiring perspective highlights the beauty of math in everything from nature to decision-making and offers encouragement for those intimidated by the field.


What do we talk about in this episode?

1. Fae’s STEM Journey: Fae’s early love for math and puzzles led her into data science and machine learning. Her educational path includes degrees in math, molecular biology, and computer science.
2. New Job & Kaggle Competitions: Fae discusses her current role as a machine learning researcher and her work in predictive analysis, time-series data, and her involvement in Kaggle AI/ML competitions.
3. Breaking Down Complex Problems: Fae emphasizes the importance of breaking large, intimidating problems into smaller, manageable steps, which she applies both in her research and personal life.
4. The Joy of Math: Fae shares how math brings her joy and explains how the logic behind math can simplify life’s challenges.
5. Mental Health & Math’s Impact: Fae explores how math and its principles, like building backup plans and creating algorithms, can help manage anxiety and uncertainty.

Music used in the podcast: Higher Up, Silverman Sound Studio

You can support my podcast on Patreon here: https://patreon.com/user?u=72701887

Resources:

Kaggle Competitions

The National Museum of Mathematics (MoMath) in New York City

Connect with Fae Gaze 

• Linkedin- Fae Gaze
• HashMap YouTube Channel