Hi, I'm Sonali, a Postdoctoral Research Fellow at Harvard SEAS.

My research focuses on reasoning in uncertainty, causal inference, and learning interpretable models for medical decision-making and problems in healthcare. I am currently working with Prof. Finale Doshi-Velez.

I completed my PhD in 2019 at the University of Basel in Switzerland, where I was advised by Prof. Volker Roth. Prior to this, I received my MSc at the University of the Witwatersrand, South Africa.

Apart from research, I enjoy travelling, learning about other cultures, playing badminton and cooking.

Harvard Science Centre, 1 Oxford Street, MA 02138.

Preprints

Transfer Learning from Well-Curated to Less-Resourced Populations with HIV.

Sonali Parbhoo, Mario Wieser, Volker Roth, Finale Doshi-Velez, arXiv pre-print 2020.






Interpretable Off-Policy Evaluation by Highlighting Influential Transitions.

Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo Celi, Emma Brunskill, Finale Doshi-Velez, arXiv pre-print 2020.




Optimizing for Interpretability in Deep Neural Networks with Tree Regularization.

Mike Wu, Sonali Parbhoo, Michael Hughes, Volker Roth, Finale Doshi-Velez, arXiv pre-print 2020.




Inverse Learning of Symmetry Transformations.

Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth, arXiv pre-print 2020.






















Intelligent Policy Mixing for Improved HIV-1 Therapy Selection.

Sonali Parbhoo, Jasmina Bogojeska, Mario Wieser, Fabricio Arend Torres, Maurizio Zazzi, Susana Posada Cespedes, Niko Beerenwinkel, Enos Bernasconi, Manuel Battegay, Alexander Calmy, Matthias Cavassini, Pietro Vernazza, Andri Rauch, Karin Metzner, Roger Kouyos, Huldrych F. Guenthard, Finale Doshi-Velez, Volker Roth, pre-print 2020.

Host genomics of the HIV-1 reservoir size and its decay rate during suppressive antiretroviral treatment.

Christian W. Thorball, Alessandro Borghesi, Nadine Bachmann, Chantal von Siebenthal, Valentina Vongrad, Teja Turk, Kathrin Neumann, Niko Beerenwinkel, Jasmina Bogojeska, Volker Roth, Yik Lim Kok, Sonali Parbhoo, Mario Wieser, Jurg Boni, Matthieu Perreau, Thomas Klimkait, Sabine Yerly, Manuel Battegay, Andri Rauch, Patrick Schmid, Enos Bernasconi, Matthias Cavassini, Roger D. Kouyos, Huldrych F. Guenthard, Karin J. Metzner, Jacques Fellay and the Swiss HIV Cohort Study, medRxiv pre-print 2020.

Publications

Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates.

Sonali Parbhoo, Mario Wieser, Aleksander Wieczorek, Volker Roth. Entropy 2020, 22(4), 389;


Greedy Structure Learning of Hierarchical Compositional Models.

Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Andreas Morel-Forster, Sonali Parbhoo, Volker Roth, Thomas Vetter. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019.

Beyond Sparsity: Tree Regularization of Deep Models for Interpretability.

Mike Wu, Michael Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez. In Proceedings AAAI 2018.



Regional Tree Regularization for Interpretability in Black Box Models.

Mike Wu, Sonali Parbhoo, Michael Hughes, Ryan Kindle, Leo Celi, Volker Roth, Finale Doshi-Velez. In Proceedings AAAI 2020, Contributed Talk.


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. PLoS One 2018, 13(11).

Combining Kernel and Model-Based Learning for HIV Therapy Selection.

Sonali Parbhoo, Jasmina Bogojeska, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez. In Proceedings of AMIA Joint Summit on Translational Science, 2017, pp 239 - 248.



Determinants of HIV-1 Reservoir Size and Long-Term Dynamics.

Nadine Bachmann, Chantal von Siebenthal, Valentina Vongrad, Teja Turk, Kathrin Neumann, Niko Beerenwinkel, Jasmina Bogojeska, Jacques Fellay, Volker Roth, Yik Lim Kok, Christian Thorball, Alessandro Borghesi, Sonali Parbhoo, Mario Wieser, Jurg Boni, Matthieu Perreau, Thomas Klimkait, Sabine Yerly, Manuel Battegay, Andri Rauch, Matthias Hoffmann, Enos Bernasconi, Matthias Cavassini, Roger Kouyos, Karin Metzner, Huldrych F. Guenthard. In Nature Communications 2019, 10, 3193.







Bayesian Markov Blanket Estimation.

Dinu Kaufmann, Sonali Parbhoo, Aleksander Wieczorek, Sebastian Matthias Keller, David Adametz, Volker Roth. In Proceedings AISTATS, 2016.




Workshop Publications

Cause-Effect Deep Information Bottleneck for Incomplete Data.

Sonali Parbhoo, Mario Wieser, Aleksander Wieczorek, Volker Roth. Spotlight Presentation - NeurIPS Causal Inference 2019.


Informed MCMC with Bayesian Neural Networks for Facial Image Analysis.

Adam Kortylewski, Mario Wieser, Andreas Morel Forster, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth, Thomas Vetter. NeurIPS Bayesian Deep Learning 2018.


Optimizing Deep Models for Interpretability.

Mike Wu, Sonali Parbhoo, Volker Roth, Finale Doshi-Velez. Spotlight Presentation - NeurIPS Transparent and Interpretable Machine Learning in Safety Critical Environments 2017.

Combining Kernel and Model Learning for HIV Therapy Selection.

Sonali Parbhoo, Jasmina Bogojeska, Volker Roth, Finale Doshi-Velez. Spotlight Presentation, Winner of IBM Best Paper for Machine Learning in Healthcare, NeurIPS ML4H 2016.

Theses and Dissertations

Causal Inference and Interpretable Machine Learning for Personalised Medicine.

Sonali Parbhoo. PhD Thesis, Summa Cum Laude - University of Basel, July 2019.





A Reinforcement Learning Design for HIV Clinical Trials.

Sonali Parbhoo. MSc. Dissertation, Completed with Distinction - University of the Witwatersrand, July 2014.






Get in touch with me at sparbhoo@seas.harvard.edu