Author Information

Jessica Schrouff (Google Health)

I am a Senior Research Scientist at DeepMind since 2022. I joined Alphabet in 2019 as part of Google Research working on trustworthy machine learning for healthcare. Before that, I was a postdoctoral researcher at University College London and Stanford University studying machine learning for neuroscience. My current interests lie at the intersection of trustworthy machine learning and causality.

More from the Same Authors

• 2021 : Maintaining fairness across distribution shifts: do we have viable solutions for real-world applications? »
  Jessica Schrouff · Natalie Harris · Sanmi Koyejo · Ibrahim Alabdulmohsin · Eva Schnider · Diana Mincu · Christina Chen · Awa Dieng · Yuan Liu · Vivek Natarajan · Katherine Heller · Alexander D'Amour
• 2022 Workshop: Algorithmic Fairness through the Lens of Causality and Privacy »
  Awa Dieng · Miriam Rateike · Golnoosh Farnadi · Ferdinando Fioretto · Matt Kusner · Jessica Schrouff
• 2022 Poster: Diagnosing failures of fairness transfer across distribution shift in real-world medical settings »
  Jessica Schrouff · Natalie Harris · Sanmi Koyejo · Ibrahim Alabdulmohsin · Eva Schnider · Krista Opsahl-Ong · Alexander Brown · Subhrajit Roy · Diana Mincu · Christina Chen · Awa Dieng · Yuan Liu · Vivek Natarajan · Alan Karthikesalingam · Katherine Heller · Silvia Chiappa · Alexander D'Amour
• 2022 Poster: A Reduction to Binary Approach for Debiasing Multiclass Datasets »
  Ibrahim Alabdulmohsin · Jessica Schrouff · Sanmi Koyejo
• 2021 Workshop: Algorithmic Fairness through the lens of Causality and Robustness »
  Jessica Schrouff · Awa Dieng · Golnoosh Farnadi · Mark Kwegyir-Aggrey · Miriam Rateike
• 2020 : AFCI2020: Closing remarks and Summary of Discussions »
  Jessica Schrouff
• 2020 Workshop: Algorithmic Fairness through the Lens of Causality and Interpretability »
  Awa Dieng · Jessica Schrouff · Matt Kusner · Golnoosh Farnadi · Fernando Diaz