Meredith Sperling

Meredith Sperling

Alumni Students, Cohort I, Undergraduate

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.

CESSRST Consortium

CESSRST is led by The City University of New York and brings together Hampton University, VA; University of Puerto Rico at Mayaguez, PR; San Diego State University, CA; University of Maryland Baltimore County, MD; University of Texas at El Paso, TX.