Hi there, my name is Zé!
I'm an undergraduate student majoring in Electrical Engineering at the Federal University of Campina Grande, Brazil. Since my second semester in college, I've been an undergraduate research assistant at the Institute for Advanced Studies in Communications mentored by Dr. Marcelo Alencar and Dr. Danilo Regis.
In 2014, I was awarded a Brazilian Scientific Mobility Program scholarship to study one year abroad in The Catholic University of America, Washington DC, USA. In that opportunity, I took a variety of classes among which my favorites were Stochastic Processes, Random Signal Theory, Information Theory, and Estimation and Detection Theory which are at the core of Machine Learning and Probabilistic algorithms.
In the Summer of 2015, I had the privilege to be an undergraduate guest researcher at the Nanofabrication Research Group, National Institute of Standards and Technology, USA, under the mentorship of Dr. Marcelo Davanço. In that opportunity, I was able to apply the theory I learnt to implement routines in MATLAB for single molecule localization microscopy and fluorescense localization imaging microscopy. More precisely, I developed Maximum Likelihood Estimators (along with Fisher Information Matrices) to localize and measure the brightness of nanoemitters (aka Point Spread Function photometry in the astronomy community). This work was part of bigger projects which were later published in Nature Communications and Review of Scientific Instruments.
In the Spring of 2016, I went back to school in Brazil and got an undergraduate teaching assistant scholarship for the course of Probability and Statistics for Electrical Engineering and Computer Science. Besides helping students understand basic concepts of probability theory during office hours, I also gave weekly lectures during which I solved exercises together with the students.
During the Summer of 2016, I took a gap semester in my undergraduate studies to become a software developer for the AstroPy Project as part of the Google Summer of Code program. In that occasion, I developed Python code to perform both unsupervised clustering and regression of Gaussian Mixture Models for Point Spread Function photometry. I had the privilege to be mentored by Dr. Hans Moritz Gunther, Dr. Brigitta Sipocz, and Dr. Erik Tollerud.
In 2017, I was extremely fortunate and privileged to join NASA's K2 Mission as an intern at NASA Ames Research Center in Silicon Valley, USA. During my time at NASA, I worked on software development and scientific computing problems under the mentorship of Dr. Geert Barentsen, Dr. Michael Gully-Santiago, Dr. Christina Hedges, and Dr. Ann Marie Cody.
In my spare time, I enjoy taking my dog Pluto for a walk, learning Mandarin, drinking Brazilian coffee, playing football, writing code for open source projects, playing chess, and reading historical and technical maths books.