Gauss L.
Head of Quantitaitve Investment
About
Passionate and eager to experience and learn new things is my motto for the career life My favourite programming language is: C/C++, Python and C-objective. I can also programme in Matlab and use different toolboxes (e.g. simulink) in it. I am also very interested in quantitative finance which is very related to algorithm design and machine learning.
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Hong Kong SAR
Capital Markets
Machine Learning, Programming, Artificial Intelligence, Matlab, Python, Robotics, C++, Linux, Software Engineering, Simulink, Python programming, C, Computer Science, LaTeX, Algorithms, Spark
Experience
Head of Quantitaitve Investment
Ping An Asset Management hong kong
Hong Kong SAR
Portfolio Manager
PingAn Asset Management Hong Kong
Hong Kong SAR
Developing AI models to revolutionize the factor models. Assist to Manage China CSI300 long only equity fund with AUM over 100 million USD. Achieving information ratio over 3.0 via widely using machine learning techniques such as deep learning networks and GBM.
Quantitative Risk Analyst
Tor Investment Management
Hong Kong
Developing automatic risk reporting system and hedging strategies for the company's credit book.
Quant Researcher
Nautilus Capital Group
Hong Kong
Develop and research CTA strategies using machine learning techniques on Chinese commodity future markets.
Quantitative Analyst
Etraveli Group
Gothenburg, Sweden
Automatic pricing and anomaly detection. 1. Using time-series modelling technique to detect order volume anomalies. 2. Intelligent pricing models for flight tickets using machine learning.
Postdoctoral Researcher
The University of Skövde
Skovde, Sweden
A smart textile project which involves an engineering design from polymer fibbers to sensory data processing. The aim of this project is to use smart textiles as sensors and employ them in an application based on artificial intelligence (AI) models and robotics.
Visiting Researcher
ETH Zurich
Zurich, Switzerland
Working with Prof. Rolf pfeifer who is my co-supervisor
Education
Linköping University
Artificial Intelligence
Supervisor Prof. Rolf Pfeifer and Tom Ziemke, Work with Prof. Giorgio Metta (iCub creator) and Prof. Angelo Cangelosi
University of Hamburg
Deep reinforcement learning
ETH Zurich
Machine learning
The Hong Kong University of Science and Technology
Electronics and Computer Science
Nanjing University
Engineering
University of Borås
Gauss L.'s Contact Information
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