Lin Ma

After my master's degree in China (at Institute of Technology of Harbin), I came to France for my PhD on Finance.

I worked on multi-agent system developing, then tackled Kolmogorov complexity and its implication to financial data studies.

More recently, I'm interested by Machine Learning Technics and their ability to predict default, to detect frauds and to make credit scoring.
ESG rough data can also be "learned" by these technics to explain firm's ESG choices.

Machine learning algorithms can be improved by taking into account Levin’s universal distribution, I'm conducting classification tests with financial data to show this point.