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Zé Vinícius is a PhD candidate at HKUST, in sunny Hong Kong, working with Prof. Daniel Palomar on interesting problems involving graphs and financial time series. Previously, he was a scientific software engineer intern at NASA, in Mountain View, California, and NIST. He was a Google Summer of Code student for OpenAstronomy in 2016.

He spends most of his time doing research and coding that thing dppalomar asked about. In his free time, there is nothing better for him than swimming and crab hunting in the waters of Clear Water Bay and video-chatting with his dog, Pluto.

mirca's Github Stats


  1. Fast and scalable design of risk parity portfolios

    Python 119 30

  2. Design of Risk Parity Portfolios

    R 55 20

  3. Learning Graphs from Data via Spectral Constraints for k-component, bipartite, and k-component bipartite graphs

    R 42 11

  4. Does the l1-norm learn a sparse graphical model under Laplacian constraints? It doesn't.

    R 2

  5. ADMM algorithms for learning graphs from data with applications to financial markets

    R 11

  6. Learning Laplacian Markov random fields in Python


827 contributions in the last year

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Activity overview

Contribution activity

February 2021

Created 8 commits in 2 repositories
Reviewed 4 pull requests in 1 repository
OpenAstronomy/ 4 pull requests
37 contributions in private repositories Feb 1 – Feb 27

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