Meredith Sperling

Meredith Sperling
B.S, Mechanical Engineering and Mathematics, Undergraduate, 05/22/2019

Cohort Level: Cohort - I

Career Goal: I will work as a Mechanical Engineer at the Johns Hopkins Applied Physics Lab while silmutlaneously obtaining my Masters and PhD in Mechanical Engineering.

Expected Graduation Date: May 22, 2019

Degree: B.S Mechanical Engineering and Mathematics

Research Title: Reducing Wind Power Prediction Uncertainty with Atmospheric Characterization and Machine Learning

Research Synopsis: I am using Machine Learning Decision Trees to determine how encorporating additional atmospheric variables into wind power predictions can reduce wind power prediction understanding.