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Fang Fang

Fang Fang

Quantitative Researcher at Peak6 LLC

St. Louis, MO , United States

About

Fang Fang is a Quantitative Researcher at PEAK6, based in St. Louis, MO, where she applies advanced machine learning, statistics, and computational modeling to quantitative investing strategies. At PEAK6, her work focuses on the development and implementation of systematic trading models and risk analytics, contributing to the firm’s initiatives across equities and derivatives markets.

Her expertise spans financial data analysis, high-performance computing, and algorithmic strategy development, leveraging a multidisciplinary background to enhance investment decisions. Fang Fang brings extensive research experience, having served as a Research Assistant Professor at West Virginia University and as a postdoctoral fellow at the University of Colorado Boulder, focusing on atmospheric sciences and numerical simulations.

She holds a PhD in Atmospheric, Oceanic and Space Sciences from the University of Michigan and a BS in Space Physics from Peking University. Her analytical skills bridge scientific research and quantitative finance, contributing to innovation in quantitative asset management and risk modeling within the investment industry.

Career History

OrganizationRoleDate RangeDetails
PEAK6Quantitative ResearcherMay 2021 to Present
West Virginia UniversityResearch Assistant ProfessorJul 2017 to Jan 2020
Led 3D magnetohydrodynamic simulations of solar atmosphere in a large domain with 1 billion cells using block-adaptive upwind finite volume scheme. Analyzed temporal and spatial evolution of the atmo...
University of Colorado BoulderGeorge Ellery Hale Fellowship PostdocJun 2015 to May 2017
Rewrote the solar interior model (14,000 lines of codes) using finite difference on a spherical geometry. Improved the model performance by optimizing the algorithms and the message passing. The two ...
NCAR - The National Center for Atmospheric ResearchAdvanced Study Program Fellowship PostdocJun 2012 to May 2015
Our atmospheric model contained more than 70,000 lines of codes, and my simulation domain contained more than 300 million cells and ran over 6,000 CPUs. Coupled solar model with others in an integrat...

Education

University of Michigan

Doctor of Philosophy - PhD, Atmospheric, Oceanic and Space Sciences

2007 2012

Peking University

Bachelor of Science - BS, Space Physics

2003 2007

Skills & Expertise

Machine Learning
Statistics
Python (Programming Language)
Physics
High Performance Computing (HPC)
Numerical Simulation

Others at Peak6 LLC (40)

NameRoleLocation
Abhiram Kakuturu
Abhiram Kakuturu
Trading AssociateChicago, IL , United States
Amanda Cuevas
Amanda Cuevas
Senior Research AnalystChicago, IL , United States
B
Barbara Sun
Equity Options TraderAustin, TX , United States
Bassil Hussain
Bassil Hussain
Propriety Options Trader - Division ManagerClarendon Hills, IL , United States
B
Benjamin Fisher
Equity and Index Options TraderChicago, IL , United States
D
Dan FitzGerald
Sr. Research AnalystUnited States
D
David Budworth
PartnerAustin, TX , United States
E
Ethan Carter
Foreign Exchange TraderChicago, IL , United States
George Ruhana
George Ruhana
PartnerChicago, IL , United States
H
Huanlong Li
analystChicago, IL , United States
Showing 1-10 of 40 team members

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