Splash Biography


Major: Information Science

College/Employer: Cornell

Year of Graduation: 2021

Picture of Hana Gabrielle Bidon

Brief Biographical Sketch:

Hello, I'm Hana Gabrielle Bidon and I'm a Cornell graduate who studied Information Science. For the first time, I'm going to teach a crash course in Science Communication. I'm stoked to pass down my knowledge to everyone. I remember taking some classes in Yale Splash and I liked them so much that I want to teach classes in Cornell Splash!

Past Classes

  (Clicking a class title will bring you to the course's section of the corresponding course catalog)

?897: Bridging the Gap: The Art of Science Communication in Splash Fall 2023 (Nov. 11, 2023)
"Bridging the Gap: The Art of Science Communication" is an interdisciplinary course designed to equip high school students with the essential skills needed to effectively communicate complex scientific concepts to diverse audiences. Through this course, students will explore the fundamental principles of clear and engaging science communication, emphasizing the importance of conveying scientific ideas in a relatable and accessible manner. By delving into strategies such as storytelling, use of relatable examples, and engaging presentation techniques, students will learn how to bridge the gap between the scientific community and the general public. Through interactive activities and practical exercises, students will develop their abilities to articulate scientific concepts confidently and compellingly, preparing them to become effective communicators in the realm of science and beyond.

M381: Machine Learning! in Splash Fall 17 (Nov. 04, 2017)
If you’ve followed tech news lately, you’ve probably heard the term “machine learning” a lot. Machine learning sounds scary and complicated, but in truth, all machine learning algorithms are based on one simple principle. We’ll discuss this principle, then we’ll discuss five popular machine learning algorithms and how they fit into this principle. Finally, we’ll point you to some popular machine learning libraries and, if time permits, do a demo or group activity (no coding required).