I am a data scientist, primarily interested in probabilistic graphical models, causal inference, and Markov decision processes. Some of my publications are listed below. I am a core developer of bnlearn, an open source R package for Bayesian network structure learning. For more professional background, see me on Twitter (@osazuwa), Github, and LinkedIn.

My hobbies include being a nootropics nerd, classical Chinese, and keyboard rhythm games.

  • Ness, R.O., Sachs, K., Mallick, P. and Vitek, O., 2017, May. A Bayesian Active Learning Experimental Design for Inferring Signaling Networks. In International Conference on Research in Computational Molecular Biology (pp. 134-156). Springer, Cham.. pdf
  • Ness, R. O., Sachs, K., & Vitek, O. (2016). From correlation to causality: statistical approaches to learning regulatory relationships in large-scale biomolecular investigations. Journal of Proteome Research, 15. html