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Wang Ye Email & Phone Number

turning state-of-the-art machine learning algorithms into monetization system at Superluminance Investment
Location: Greater Chicago Area, United States 3 work roles 2 schools
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Current company
Role
turning state-of-the-art machine learning algorithms into monetization system
Location
Greater Chicago Area, United States

Who is Wang Ye? Overview

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Quick answer

Wang Ye is listed as turning state-of-the-art machine learning algorithms into monetization system at Superluminance Investment, based in Greater Chicago Area, United States. AeroLeads shows a matched LinkedIn profile for Wang Ye.

Wang Ye previously worked as Quantitative Trading at Superluminance Investment and Quantitative Trading at Gelber Group Llc. Wang Ye holds Phd, Solid State And Quantum Photonics from Northwestern University.

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Email format at Superluminance Investment

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Superluminance Investment

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Profile bio

About Wang Ye

Wang Ye is a turning state-of-the-art machine learning algorithms into monetization system at Superluminance Investment. He possess expertise in matlab, c++, r, parallel computing, financial modeling and 12 more skills. He is proficient in English. Colleagues describe him as "I worked with Frank for 3.5 years at Gelber Group. Over that time, Frank took a number of algorithmic trading strategies, across multiple asset classes, from concept to production. Through this process, Frank performed statistical analysis and modelling, undertook market microstructure analysis, contributed to production code, and monitored and managed the strategies in production. With such broad responsibilities, Frank honed a wide variety of quantitative skills and proficiency in several programming languages, and exhibited both creativity and attention to detail." and "I've had the pleasure of working with Frank for two years. He is a dedicated and hard-working individual. This is visible both in his work as an algorithmic trader, and as a seasoned marathon runner! Frank has the vision and determination to build a trading strategy from the ground up. He contributed insightful ideas to our trading strategy, both in the technology and trading spaces. He is an excellent communicator, and can explain complex ideas for trading strategies in an accessible and concise manner. Frank is highly skilled both at working individually and part of a larger team. His knowledge of algorithmic trading coupled with his software development skills will make Frank an asset to any team!"

Listed skills include Matlab, C++, R, Parallel Computing, and 13 others.

Current workplace

Wang Ye's current company

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Superluminance Investment
Superluminance Investment
turning state-of-the-art machine learning algorithms into monetization system
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3 roles

Wang Ye work experience

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2 education records

Wang Ye education

Phd, Solid State And Quantum Photonics

Northwestern University

Bachelor Of Engineering (Be), Information Technology

Zhejiang University
FAQ

Frequently asked questions about Wang Ye

Quick answers generated from the profile data available on this page.

What company does Wang Ye work for?

Wang Ye works for Superluminance Investment.

What is Wang Ye's role at Superluminance Investment?

Wang Ye is listed as turning state-of-the-art machine learning algorithms into monetization system at Superluminance Investment.

Where is Wang Ye based?

Wang Ye is based in Greater Chicago Area, United States while working with Superluminance Investment.

What companies has Wang Ye worked for?

Wang Ye has worked for Superluminance Investment, Gelber Group Llc, and Marquette Partners.

How can I contact Wang Ye?

You can use AeroLeads to view verified contact signals for Wang Ye at Superluminance Investment, including work email, phone, and LinkedIn data when available.

What schools did Wang Ye attend?

Wang Ye holds Phd, Solid State And Quantum Photonics from Northwestern University.

What skills is Wang Ye known for?

Wang Ye is listed with skills including Matlab, C++, R, Parallel Computing, Financial Modeling, Trading, Statistical Modeling, and Data Analysis.

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