719: Computational Mathematics and Fluid Dynamics, with Prof. Margot Gerritsen

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 (https://zerve.ai), by Gurobi (https://gurobi.com/sds), the Decision Intelligence Leader, and by ODSC (https://odsc.com), 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: • About computational mathematics and its relation to data science [03:19] • Margot’s current research into emissions simulation [15:05] • Computational Mathematics: Real-World Applications [33:18] • The importance of wind tunnels in testing designs [47:54] • The beauty of linear algebra [1:05:59] • Synesthesia: Seeing Numbers as Colors [1:16:33] • About Women in Data Science [1:24:59] Additional materials: www.superdatascience.com/719

Om Podcasten

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.