Sílvia Casacuberta
Scholar

Sílvia Casacuberta

Google Scholar ID: GfBmJNsAAAAJ
Stanford University
theoretical computer sciencecryptographydata privacyalgorithmic fairness
Citations & Impact
All-time
Citations
169
 
H-index
5
 
i10-index
4
 
Publications
14
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • “Complexity-Theoretic Implications of Multicalibration” accepted to STOC’24; awarded Harvard’s Captain Jonathan Fay Prize (top 3 theses); featured in Quanta Magazine
  • “How Global Calibration Strengthens Multiaccuracy” accepted to FOCS’25
  • “Selective Omniprediction & Fair Abstention” accepted to NeurIPS’25 (Spotlight)
  • “Reconciling Predictive Multiplicity in Practice” accepted to FAccT’25
  • “Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It” accepted to CCS’22
  • “SoK: Oblivious Pseudorandom Functions” accepted to EuroS&P’22 (Distinguished Paper Award Finalist)
  • Knight-Hennessy Scholar
  • Global Rhodes Scholar
Research Experience
  • Intern at the Max Planck Institute for Intelligent Systems (Jul–Oct 2024), supervised by Prof. Moritz Hardt
  • University of Oxford, Department of Computer Science (Oct 2023 – Aug 2025), supervisor: Prof. Varun Kanade
  • Harvard University, Department of Computer Science (Jun 2022 – May 2023), supervisors: Prof. Cynthia Dwork & Prof. Salil Vadhan
  • OpenDP (Jun 2021 – May 2022), supervisor: Prof. Salil Vadhan
  • IBM Research Zurich (Jan–May 2021), supervisor: Dr. Julia Hesse
  • ETH Zurich, Department of Computer Science (Jun–Dec 2020), supervisor: Prof. Rasmus Kyng
  • Harvard Radcliffe Institute (Sep 2019 – May 2020), supervisor: Prof. Damián Blasi
  • Imperial College London, Department of Mathematics (Jun–Aug 2019), supervisor: Prof. Seth Flaxman