I am a Postdoctoral researcher in Econometrics and Machine learning in the Department of Economics at the University of California Irvine.
My research interests are in the intersection of Econometrics, Functional Data Analysis, Big Data Techniques, and Financial Markets. I am also interested in Machine Learning, Data Science, Fintech, and Health.
Prior to this, I received my Ph.D. in Economics in 2020 at the University of Montreal, I graduated in 2012 with an Msc. in Statistics and Economics, and I was a Data Scientist intern at MTN Cameroon (Top telecom company in Africa).
I also worked as a senior economist at the Ministry of Economy in Cameroon and as a junior consultant for some economic projects financed by the World Bank.
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Functional Principal Component and Functional Partial Least Squared: Theory and Application to Stock Price prediction.
2014 - 2020
University of Montreal
Ph.D in Economics (Econometrics and Financial Economics, Big Data), Montreal Canada
Intraday Stock Market Forecasting via Functional Time Series.
Interpretable Risk Neutral Density estimation with Functional Econometrics.
Predicting the refill delay of Prepaid Customers in Telecommunication industry.
2019, Certification in Machine Learning, Stanford University.
2019, Certification in Algorithmic Trading, QuantInsti.
2009 - 2012
Sub-regional institute of Statistics and Applied Eonomics
M.sc. in Advanced Statistics applied to Finance and Insurance, Cameroon.