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Jingjie Yeo Email & Phone Number
Assistant Professor
at
Cornell University College of Engineering
1 work email found
@mit.edu
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Current company
Role
Assistant Professor
Location
Ithaca, New York, United States
Who is Jingjie Yeo? Overview
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Quick answer
Jingjie Yeo is listed as Assistant Professor at Cornell University College of Engineering, based in Ithaca, New York, United States. AeroLeads shows a work email signal at mit.edu and a matched LinkedIn profile for Jingjie Yeo.
Jingjie Yeo previously worked as Co-instructor at Station1. Jingjie Yeo holds Doctor Of Philosophy (Ph.D.), Computational Materials Science And Engineering from Nanyang Technological University.
Company email context
Email format at Cornell University College of Engineering
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{first_initial}{last}@mit.edu
86% confidence
AeroLeads found 1 current-domain work email signal for Jingjie Yeo. Compare company email patterns before reaching out.
Profile bio
About Jingjie Yeo
Jingjie Yeo is a Assistant Professor at Cornell University College of Engineering. He possess expertise in molecular dynamics, numerical analysis, matlab, materials science, mathematical modeling and 32 more skills.
Listed skills include Molecular Dynamics, Numerical Analysis, Matlab, Materials Science, and 33 others.
Current workplace
Jingjie Yeo's current company
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Cornell University College Of Engineering
AeroLeads page
3 roles
Jingjie Yeo work experience
A career timeline built from the work history available for this profile.
Assistant Professor
CurrentTenure-track faculty at Cornell University's Sibley School of Mechanical and Aerospace Engineering and Principal Investigator of the J² Lab for Engineering Living Materials (https://jingjieyeo.github.io/)
Jan 2020 - Present
Co-Instructor
Current• Station1 is a non-profit organization with a scalable model of higher education based on inclusion and equity, learning through frontier project-based inquiry and research, and the integration of science and technology with societal perspective and impact.• Developed the syllabus with the instructing team to encompass academic and personal development, together with engaging use of active learning techniques to teach, such as Think-Pair-Share and project-based activities.• Instructed cross-disciplinary modules incorporating advanced computational concepts and societal impact, including computational thinking to develop sustainable infrastructure, machine learning and human biases, and machine ethics.
Jun 2018 - Present
3 education records
Jingjie Yeo education
Doctor Of Philosophy (Ph.D.), Computational Materials Science And Engineering
Young Engineer'S Leadership Programme
The Institution Of Engineers Singapore
Bachelor'S Degree, Aerospace Engineering
FAQ
Frequently asked questions about Jingjie Yeo
Quick answers generated from the profile data available on this page.
What company does Jingjie Yeo work for?
Jingjie Yeo works for Cornell University College of Engineering.
What is Jingjie Yeo's role at Cornell University College of Engineering?
Jingjie Yeo is listed as Assistant Professor at Cornell University College of Engineering.
What is Jingjie Yeo's email address?
AeroLeads has found 1 work email signal at @mit.edu for Jingjie Yeo at Cornell University College of Engineering.
Where is Jingjie Yeo based?
Jingjie Yeo is based in Ithaca, New York, United States while working with Cornell University College of Engineering.
What companies has Jingjie Yeo worked for?
Jingjie Yeo has worked for Cornell University College Of Engineering and Station1.
How can I contact Jingjie Yeo?
You can use AeroLeads to view verified contact signals for Jingjie Yeo at Cornell University College of Engineering, including work email, phone, and LinkedIn data when available.
What schools did Jingjie Yeo attend?
Jingjie Yeo holds Doctor Of Philosophy (Ph.D.), Computational Materials Science And Engineering from Nanyang Technological University.
What skills is Jingjie Yeo known for?
Jingjie Yeo is listed with skills including Molecular Dynamics, Numerical Analysis, Matlab, Materials Science, Mathematical Modeling, Nanotechnology, Mathematica, and Fortran.
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