Ming Zhou Email & Phone Number
@bms.com
2 phones found area 515
LinkedIn matched
Who is Ming Zhou? Overview
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Ming Zhou is listed as Director at Bristol Myers Squibb at Bristol Myers Squibb, based in Pennington, New Jersey, United States. AeroLeads shows a work email signal at bms.com, phone signal with area code 515, and a matched LinkedIn profile for Ming Zhou.
Ming Zhou previously worked as Senior Director at Bristol Myers Squibb and Director at Bristol Myers Squibb. Ming Zhou holds Ph.D., Statistics from Iowa State University.
Email format at Bristol Myers Squibb
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AeroLeads found 1 current-domain work email signal for Ming Zhou. Compare company email patterns before reaching out.
About Ming Zhou
Ming Zhou is a Director at Bristol Myers Squibb at Bristol Myers Squibb. They possess expertise in statistics, r, sas, data analysis, statistical modeling and 39 more skills. They is proficient in English. Colleagues describe them as "It was a great pleasure working with Ming when I was doing summar intern at BMS. Ming is a very motivated and smart biostatistician and had gave me lots of great suggestions in the intern project.", "Ming is one of the smartest people I've ever met.", and "Ming is doing a great job as a teaching assistant at our department. He is able give lectures in a clear and vivid manner. Even the student misses class the most often would not be absent in his class. He is the best TA I've met."
Listed skills include Statistics, R, Sas, Data Analysis, and 40 others.
Ming Zhou's current company
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Ming Zhou work experience
A career timeline built from the work history available for this profile.
Director
Associate Director
Principal Biostatistician
Senior Research Biostatistician
Senior Statistician
Involved with clinical trial design and data analysis;Participated in protocol and clinical study report (CSR) development;Authored statistical analysis plans (SAPs) and statistical reports;Provided statistical support for scientific publications;Performed statistical analysis for signal detection, safety surveillance and other safety related regulatory.
Instructor
Design and give lectures, write exams and homework. The audience include 32 undergraduate students with computer science and engineering background, focusing on the application of probability and statistics in computing and engineering, such as introductory stochastic process and queuing system.
Teaching Assistant
Provided consultation on statistical methods, theories to students;Grading homework, quizzes and exams;Served as teaching assistant for two core graduate level courses (measure theory and probability theory; advanced statistical inferences) for three consecutive years.Led elementary statistics lab to approximately 30 undergraduate students, provided lab.
Ming Zhou education
Ph.D., Statistics
B.S., Mathematics, Statistics
Frequently asked questions about Ming Zhou
Quick answers generated from the profile data available on this page.
What company does Ming Zhou work for?
Ming Zhou works for Bristol Myers Squibb.
What is Ming Zhou's role at Bristol Myers Squibb?
Ming Zhou is listed as Director at Bristol Myers Squibb at Bristol Myers Squibb.
What is Ming Zhou's email address?
AeroLeads has found 1 work email signal at @bms.com for Ming Zhou at Bristol Myers Squibb.
What is Ming Zhou's phone number?
AeroLeads has found 2 phone signal(s) with area code 515 for Ming Zhou at Bristol Myers Squibb.
Where is Ming Zhou based?
Ming Zhou is based in Pennington, New Jersey, United States while working with Bristol Myers Squibb.
What companies has Ming Zhou worked for?
Ming Zhou has worked for Bristol Myers Squibb, Amylin Pharmaceuticals, and Iowa State University.
How can I contact Ming Zhou?
You can use AeroLeads to view verified contact signals for Ming Zhou at Bristol Myers Squibb, including work email, phone, and LinkedIn data when available.
What schools did Ming Zhou attend?
Ming Zhou holds Ph.D., Statistics from Iowa State University.
What skills is Ming Zhou known for?
Ming Zhou is listed with skills including Statistics, R, Sas, Data Analysis, Statistical Modeling, Biostatistics, Clinical Trials, and Data Mining.
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