Position:
Postdoctoral Research Scientist at Columbia University
Location:
Albany, New York Metropolitan Area, United States
Found email addresses for Ming Yi:
Found phone for Ming Yi:
Jul 2023 - Current
Jan 2022 - May 2022
Ming is proficient in English and Mandarin. Their professional focus is Machine learning, Machine vision, and Signal processing across 3 core areas.
Ming has registered patents, including "Adaptive Auto Meter Detection Method based on Character Segmentation and Cascade Classifier" and has been awarded Charles M. Close ’62 Doctoral Prize, Founder Award of Excellence, and National Scholarship
Doctor of Philosophy - PhD at Rensselaer Polytechnic Institute
Master's degree at Harbin Institute of Technology
Bachelor's degree at Harbin Engineering University
Summer School at Technion - Israel Institute of Technology
What is Ming Yi's email address?
SignalHire found a verified business email address for Ming Yi: y*****g@columbia.edu.What is Ming Yi's phone number?
SignalHire found a verified phone number for Ming Yi: +1-***-***-4000.How do I contact Ming Yi at Columbia University?
You can reach Ming Yi through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.What is Ming Yi's professional background?
Ming Yi has 4 years of professional experience. They have held roles including Research Intern at companies such as Argonne National Laboratory. Their education includes Doctor of Philosophy - PhD from Rensselaer Polytechnic Institute, and Master's degree from Harbin Institute of Technology.Is Ming Yi's contact information up to date?
Yes. Ming Yi's SignalHire profile was last updated on 23 May 2026, reflecting their current position as Postdoctoral Research Scientist at Columbia University in New York, NY, United States.SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
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