"Eu vivo sempre no mundo da lua. Porque sou um cientista. O meu papo é futurista. É lunático."
E-mail: danielcajueiro at unb.br
I am particularly interested in
Finance and Banking.
Artificial Intelligence, Natural Language Processing, Machine Learning and Data Science.
Control and Optimization Theory.
Scientific computation and real web-based applications with commercial value.
I have published more than 80 papers in periodicals of the fields of Economics, Engineering, Finance and complex systems.
I am the co-author (with Alexandre Ywata Carvalho and Reinaldo Soares Camargo) of the book "Introduction to statistical methods for economics and finance" (in portuguese).
I belong to the list of the 2% most influential scientists of the world according to the Stanford University following the methodology of the paper for the year of 2019. [Mídia: Globo News, Correio Braziliense]
I have received more than 1900 citations according to the ISI Web of Science and more than 4500 citations according to the Google Scholar.
My Web of Science H factor is 24 and my Google Scholar H Factor is 32.
I am among the 5% top economists in Brazil, according to the Repec - Ideas rank.
My ORCID is: myORCID.
I have taught Finance, Machine Learning, Natural Language Processing, Deep Learning, Statistics, Econometrics and Quantitative Economics for public and private companies.
This is my blog. If you speak portuguese you may find interesting teaching material there: MyBlog
I have provided consultancy services in the fields of Finance, Banking, Machine Learning, Statistics, Econometrics and Operations Research for Public and Private companies.
If you are interested in working with one of these topics above, please take a look at the menu above "New Upcomming Students".