Franklin Lee

Franklin Lee is a highly educated professional with a strong background in Chemical Engineering.

He holds a Master's Degree and a Doctor of Philosophy (Ph.D.) in Chemical Engineering from Stanford University, as well as a Bachelor's Degree in Chemical Engineering from Cornell University.

Currently, Franklin Lee works as a Machine Learning Modeling Engineer at Corning Incorporated, where he applies his expertise in Chemical Engineering to the field of Machine Learning.

During his academic years, Franklin Lee gained valuable experience as a Graduate Teaching Assistant at Stanford University and as an Undergraduate Teaching Assistant at Cornell University.

He also worked as a Graduate Research Assistant at Stanford University, conducting research in the field of Chemical Engineering, and as a former R&D Intern at Ethicon, Inc., where he gained practical industry experience.

Franklin Lee's diverse background includes roles such as Undergraduate Research Assistant at Cornell University and Grader at Cornell University, showcasing his commitment to academia and his willingness to take on various responsibilities.

With his advanced degrees, industry experience, and academic roles, Franklin Lee is a versatile professional well-equipped to excel in the fields of Chemical Engineering and Machine Learning.