cv

Curriculum Vitae

Basics

Name Sonali Parbhoo
Label Assistant Professor, Imperial College London
Email s.parbhoo@imperial.ac.uk
Url https://ai4ai-lab.github.io/
Summary Assistant Professor at Imperial College London leading the AI for Actionable Impact Lab (AI4AI). Research focuses on trustworthy AI for healthcare, causal inference, and safe reinforcement learning.

Work

  • 2022.01 - Present
    Associate
    Harvard University
    Ongoing collaboration and research
  • 2022.01 - Present
    Assistant Professor / Group Leader
    Imperial College London, School of Electrical and Electronic Engineering
    AI for Actionable Impact Lab (AI4AI)
    • Research in trustworthy AI for healthcare
    • Supervision of PhD and Masters students
  • 2019.01 - 2022.01
    Postdoctoral Research Fellow
    Harvard University, John A. Paulson School of Engineering and Applied Sciences
    Advisor: Prof. Finale Doshi-Velez
    • Embedded EthiCS Postdoctoral Fellow (2020-2022)
    • Research in causal inference, interpretable ML, and safe reinforcement learning
  • 2014.01 - 2019.01
    Research Assistant / Teaching Assistant
    University of Basel, Department of Mathematics and Informatics
    Advisor: Prof. Volker Roth
    • Lectured Scientific Writing course
    • Teaching assistant for Machine Intelligence and Life Science Informatics

Education

  • 2014.01 - 2019.01

    Switzerland

    Ph.D. (summa cum laude)
    University of Basel
    Computer Science
    • Thesis: Causal Inference and Interpretable Machine Learning for Personalised Medicine
    • Advisors: Prof. Volker Roth and Prof. Niko Beerenwinkel
    • Faculty of Science Best Thesis Award Finalist, 2020
  • 2012.01 - 2014.01

    South Africa

    M.Sc. (with distinction)
    University of the Witwatersrand
    Computer Science
    • Dissertation: A Reinforcement Learning Design for HIV Clinical Trials
    • Advisors: Prof. Clint Van Alten and Pravesh Ranchod
    • NRF Scarce Skills Scholarship, Postgraduate Merit Scholarship
  • 2008.01 - 2011.01

    South Africa

    B.Sc. (with distinction)
    University of the Witwatersrand
    Computer Science, Mathematics & Molecular Biology

Awards

Languages

English
Native
Gujarati
Fluent
Afrikaans
Fluent
Italian
Conversational

Interests

Trustworthy AI for Healthcare
Safe and interpretable reinforcement learning for clinical decision support
Uncertainty quantification in high-stakes medical settings
Fairness and equity in healthcare AI systems
Causal Inference & Representation Learning
Causal discovery and inference for treatment effect estimation
Counterfactual reasoning for personalized medicine
Concept bottleneck models for interpretability
Off-Policy Evaluation & Policy Learning
Methods for evaluating policies from observational data
Safe policy improvement with guarantees
Decision-focused learning for sequential decision-making