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In this episode, Margot Gerritsen and Jon Krohn discuss the fundamentals of computational mathematics and its application in studying fluid dynamics. Margot also talks about how her synesthesia led to a lifelong interest in math, using computational mathematics to predict airflow, and why it is so important that underrepresented groups in data science become more visible through organizations like Women in Data Science.This episode is brought to you by the Zerve data science dev environment, by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.In this episode you will learn:\u2022 About computational mathematics and its relation to data science [03:19]\u2022 Margot\u2019s current research into emissions simulation [15:05]\u2022 Computational Mathematics: Real-World Applications [33:18]\u2022 The importance of wind tunnels in testing designs [47:54]\u2022 The beauty of linear algebra [1:05:59]\u2022 Synesthesia: Seeing Numbers as Colors [1:16:33]\u2022 About Women in Data Science [1:24:59]Additional materials: www.superdatascience.com/719