Michael E. Mueller

Advisory Board Member

[email protected]

@123example

General Introduction

Professor Michael E. Mueller brings his extensive expertise in mechanical and aerospace engineering to Sharon AI’s advisory board. With a deep background in computational science and energy systems, he advises on technical strategies and innovative approaches that support Sharon AI’s mission. His leadership in both academia and national laboratories strengthens the connection between cutting-edge research and practical AI applications.

Background

2022 – Present

Professor and Associate Chair, Department of Mechanical and Aerospace Engineering, Princeton University

2018 – 2022

Associate Professor, Princeton University

2012 – 2018

Assistant Professor, Princeton University

2012

Postdoctoral Scholar, Stanford University

Education

Ph.D. in Mechanical Engineering, Stanford University (2009 – 2012)

M.S. in Mechanical Engineering, Stanford University (2007 – 2009)

Current Role

As a faculty researcher and advisor, Professor Mueller contributes to Sharon AI’s technical strategies, focusing on the integration of computational science in AI and energy-efficient technologies. His insights help guide research efforts and AI-driven innovations.