Position:
Graduate Research Assistant at University of Minnesota School of Public Health
Location:
Minneapolis, Minnesota, United States
Found email addresses for Bo Wang:
Found phone for Bo Wang:
Sep 2024 - Current
Aug 2023 - Oct 2023
Sep 2021 - Sep 2022
Their professional focus is Data Preprocessing, Python (Programming Language), and R (Programming Language) across 3 core areas.
Master of Science - MS at University of Minnesota
Bachelor's degree at Northeastern University (CN)
What is Bo Wang's email address?
SignalHire found a verified business email address for Bo Wang: w****b@umn.edu.What is Bo Wang's phone number?
SignalHire found a verified phone number for Bo Wang: +1-***-***-3124.How do I contact Bo Wang at University of Minnesota School of Public Health?
You can reach Bo Wang 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 Bo Wang's professional background?
Bo Wang has 5 years of professional experience. They have held roles including Data Analyst Intern, and Undergraduate Teaching Assistant at companies such as Tasly Pharmaceuticals, and Northeastern University (CN). Their education includes Master of Science - MS from University of Minnesota, and Bachelor's degree from Northeastern University (CN).Is Bo Wang's contact information up to date?
Yes. Bo Wang's SignalHire profile was last updated on 23 November 2024, reflecting their current position as Graduate Research Assistant at University of Minnesota School of Public Health in Minneapolis, Minnesota, 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.
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.