“In God we trust, all others must bring data.” (W. Edwards Deming)

About Me

I am a Ph.D. student at the Department of Statistics at Kansas State University, and the former Lead Data Scientist from the National Fund for Educational Development - FNDE (Brazil). During my free time, besides being a Python and R developer, I enjoy studying and implementing statistical arbitrage algorithms to be used as investment strategies. You can find more about me and my projects on my Resume and my GitHub.

Research Interest

My main interests are Statistical Arbitrage, Mathematical Finance, Optimization, Computational Statistics, and Astrostatistics.


Main Publications

In chronological order:

  1. P.Beaklini, A.Quadros, M.Avellar, M.Dantas, A.Cançado: AGN dichotomy beyond radio loudness: a Gaussian Mixture Model analysis. Monthly Notices of the Royal Astronomical Society, Volume 497, Issue 2, September 2020, Pages 1463-1474 [link].

Education

[4] Ph.D. in Statistics (2021-present)
Kansas State University

[3] B.Sc. in Statistics (2018)
Recipient of the “Outstanding Student Award”
University of Brasilia (UnB)

[2] M.Sc. in Economic Development (2012)
State University of Campinas (Unicamp)

[1] Licenciatura in Geography (2008)
State University of Campinas (Unicamp)


References