How old is Xiaowei W Shi?
Xiaowei W Shi is possibly 68 years old and maybe was born in October 1957.
Xiaowei Shi Public Profile: Age: 68 in Jacksonville, FL
1 people found.
Here is a summary of the results below for the name Xiaowei Shi Public Profile: Age: 68 in Jacksonville, FL
| Data Type | Total Found | Additional Details |
|---|---|---|
| People | 1 | 68 years of age |
| Email Addresses | 4 | Associated with Xiaowei Shi Public Profile: Age: 68 in Jacksonville, FL |
| Phone Numbers | 5 | 3 area code(s) |
| Area Codes | 3 | Including 732, 904 and 908 |
| States | 2 | Including Florida and New jersey |
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xiaowei w shi in Jacksonville, Florida | Age - 68
Phone Number
(732) 819-9782, (908) 769-7538, (732) 769-7538
Address
5230 Downington Drive, Jacksonville, Fl 32257
Relatives
chenying shi, lei shi, thomas j shi
gnr209@aol.com gnr209@adelphia.net shi.xiaowei508@gmail.com shixiaowei508@gmail.com
Seen as
xiao wei shi
Previous Locations
Belle Mead NJ, Edison NJ, Highland Park NJ
Employer
rutgers university graduate school of applied and professional psychology
Top People with the Last Name Shi
FAQs
Commonly asked questions about Xiaowei Shi
Where does Xiaowei W Shi live?
Xiaowei W Shi has been associated with 4 addresses, the last known one is 5230 Downington Drive, Jacksonville, Fl 32257.
What is Xiaowei W Shi’s phone number?
Xiaowei W Shi has been known to have 5 phone numbers, including (732) 819-9782.
What is Xiaowei W Shi’s email address?
Xiaowei W Shi has been known to have 4 email addresses, including gnr209@aol.com.
Who is Xiaowei W Shi related to?
Xiaowei W Shi's possible relatives include Chenying Shi, Lei Shi, Thomas J Shi.
What does Xiaowei W Shi do for a living?
Xiaowei W Shi could be a Digital Marketing Coordinator at Rutgers University Graduate School Of Applied And Professional Psychology and might have 8 other jobs on file.
Did Xiaowei W Shi go to school?
Xiaowei W Shi could of attended Rutgers University–new Brunswick where Xiaowei W Shi received a degree in Master's Degree, Information, Specilization In Data Science, 3.83/4.0.