Research Analyst
Current
Jul 2020 - Present
AeroLeads people directory · profile
Mengru Zhang Email & Phone Number
Quantitative Researcher
at
Cubist Systematic Strategies
2 work emails found
@stonybrookmedicine.edu
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
Quantitative Researcher
Location
New York, New York, United States
Who is Mengru Zhang? Overview
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Quick answer
Mengru Zhang is listed as Quantitative Researcher at Cubist Systematic Strategies, based in New York, New York, United States. AeroLeads shows a work email signal at stonybrookmedicine.edu and a matched LinkedIn profile for Mengru Zhang.
Mengru Zhang previously worked as Research Analyst at Cubist Systematic Strategies and Quantitative Researcher at Jefferies. Mengru Zhang holds Doctor Of Philosophy (Ph.D.), Applied Mathematics And Statistics from Stony Brook University.
Company email context
Email format at Cubist Systematic Strategies
This section adds company-level context without repeating Mengru Zhang's masked contact details.
{first}.{last}@stonybrookmedicine.edu
89% confidence
AeroLeads found 2 current-domain work email signals for Mengru Zhang. Compare company email patterns before reaching out.
Profile bio
About Mengru Zhang
Mengru Zhang is a Quantitative Researcher at Cubist Systematic Strategies. They possess expertise in r, machine learning, time series analysis, probability, mathematica and 10 more skills. They is proficient in English.
Listed skills include R, Machine Learning, Time Series Analysis, Probability, and 11 others.
Current workplace
Mengru Zhang's current company
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6 roles
Mengru Zhang work experience
A career timeline built from the work history available for this profile.
Quantitative Researcher
Oct 2018 - Jun 2020
Research Assistant
I work as a Research Assistant in the Biostatistical Consulting Core (BCC) in the School of Medicine. The BCC as a team provides biostatistical consultation, collaboration, education and support for all aspects of a research endeavor.
Aug 2015 - Sep 2018
Teaching Assistant
I worked as the teaching assistant of HPH 507-Introduction to Biostatistics in the Public Health master program. Weekly duties include grading homework/quiz/exam, answering students' questions and leading a 1-hour SAS practice lesson.
Jan 2016 - Jun 2016
Quantitative Research Intern
May 2018 - Aug 2018
Teaching Assistant
I worked as a teaching assistant for AMS102-Elementary Statistics at the Department of AMS in the academic year of 2014-2015.
Jul 2014 - Jun 2015
3 education records
Mengru Zhang education
Doctor Of Philosophy (Ph.D.), Applied Mathematics And Statistics
Stony Brook University
Master Of Science (M.S.), Applied Mathematics And Statistics
Stony Brook University
Bachelor Of Science - Bs, Statistics
University Of Science And Technology Of China
FAQ
Frequently asked questions about Mengru Zhang
Quick answers generated from the profile data available on this page.
What company does Mengru Zhang work for?
Mengru Zhang works for Cubist Systematic Strategies.
What is Mengru Zhang's role at Cubist Systematic Strategies?
Mengru Zhang is listed as Quantitative Researcher at Cubist Systematic Strategies.
What is Mengru Zhang's email address?
AeroLeads has found 2 work email signals at @stonybrookmedicine.edu for Mengru Zhang at Cubist Systematic Strategies.
Where is Mengru Zhang based?
Mengru Zhang is based in New York, New York, United States while working with Cubist Systematic Strategies.
What companies has Mengru Zhang worked for?
Mengru Zhang has worked for Cubist Systematic Strategies, Jefferies, Stony Brook Medicine, and Stony Brook University.
How can I contact Mengru Zhang?
You can use AeroLeads to view verified contact signals for Mengru Zhang at Cubist Systematic Strategies, including work email, phone, and LinkedIn data when available.
What schools did Mengru Zhang attend?
Mengru Zhang holds Doctor Of Philosophy (Ph.D.), Applied Mathematics And Statistics from Stony Brook University.
What skills is Mengru Zhang known for?
Mengru Zhang is listed with skills including R, Machine Learning, Time Series Analysis, Probability, Mathematica, Simulations, Latex, and Mathematical Modeling.
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