Group Member

  • Sonali Parbhoo

    PhD candidate

About me

    I am Sonali Parbhoo. I was born and grew up in Johannesburg, South Africa. My research focuses on developing statistical models for problems in healthcare, medicine and computational biology. I am particularly interested in reasoning in uncertainty, interpretable machine learning and reinforcement learning. In 2014, I completed an MSc. degree in Computer Science from the University of the Witwatersrand before moving to Basel. My MSc. thesis focused on using reinforcement learning methods for HIV therapy selection. Prior to this, I completed my undergraduate studies specialising in Computer science, Mathematics and Molecular Biology. Apart from research, I enjoy travelling, playing badminton and experimenting with contemporary cuisine.

My projects

Systems-X HIV-X: Deciphering Host-Virus Interactions to Cure HIV

Contact Information

University of Basel
Sonali Parbhoo
Department of Mathematics and Computer Science
Room 01.001
Spiegelgasse 1
CH - 4051 Basel, Switzerland

Phone: +41 61 207 0542


  • Intelligent Policy Mixing for Improved HIV-1 Therapy Selection . Sonali Parbhoo, Jasmina Bogojeska, Maurizio Zazzi, Karin J. Metzner, Roger Kouyos, Huldrych Gunthard, Finale Doshi-Velez, Volker Roth, the SHCS and EuResist -- Under review, 2018
  • Causal Deep Information Bottleneck . Sonali Parbhoo, Mario Wieser, Volker Roth -- Under review, 2018
  • Improving Counterfactual Reasoning with Kernelised Dynamic Mixing Models . Sonali Parbhoo, Omer Gottesman, Andrew Slavin Ross, Matthieu Komorowski, Aldo Faisal, Isabella Bon, Volker Roth, Finale Doshi-Velez -- Under review, 2018
  • Beyond Sparsity: Tree-based Regularization of Deep Models for Interpretability. Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez -- In Proceedings of AAAI 2018.
  • Combining Kernel and Model Based Learning for HIV Therapy Selection. Sonali Parbhoo, Jasmina Bogojeska, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez -- In Proceedings of the AMIA Joint Summit on Translational Science and Clinical Research Informatics, 2017.
  • Bayesian Markov Blanket Estimation. Dinu Kaufmann, Sonali Parbhoo, Aleksander Wieczorek, Sebastian Keller, David Adametz, Volker Roth -- In Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS) 2016, Cadiz, Spain. JMLR: W&CP volume 51.