World's Best Scientists 2026 revealed!
Mihaela van der Schaar

Mihaela van der Schaar

Award Badge
Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
79
Citations
26113
World Ranking
1139
National Ranking
64

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Mihaela van der Schaar is affiliated with the University of Cambridge in the United Kingdom. Their research spans interdisciplinary fields, primarily focusing on Computer Science and Medicine with a substantial number of publications in both areas.

The main fields of study include:

  • Computer Science
  • Medicine

Within these fields, van der Schaar has contributed extensively to several subfields:

  • Artificial Intelligence
  • Statistics and Probability
  • Cardiology and Cardiovascular Medicine
  • Surgery
  • Management Science and Operations Research

Their research topics emphasize:

  • Machine Learning in Healthcare
  • Advanced Causal Inference Techniques
  • Explainable Artificial Intelligence (XAI)
  • Machine Learning and Data Classification
  • Statistical Methods in Clinical Trials
  • Statistical Methods and Inference
  • Health Systems, Economic Evaluations, Quality of Life

Van der Schaar has published in a variety of academic venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • The Lancet Digital Health
  • Journal of the American College of Cardiology
  • ACM Transactions on Computing for Healthcare

Representative recent papers authored or co-authored by van der Schaar are:

  • "Ethnic and regional variations in hospital mortality from COVID-19 in Brazil: a cross-sectional observational study" (2020, The Lancet Global Health)
  • "Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN)" (2020, IEEE Journal of Biomedical and Health Informatics)
  • "Deep Generative Models for 3D Linker Design" (2020, Journal of Chemical Information and Modeling)
  • "Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example" (2021, Critical Care Medicine)
  • "Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review" (2022, The Lancet Digital Health)

Frequent co-authors collaborating with van der Schaar include:

  • Zhaozhi Qian
  • Ahmed M. Alaa
  • Ioana Bica
  • Nabeel Seedat
  • Fergus Imrie

Best Publications

  • GAIN: Missing Data Imputation using Generative Adversarial Nets

    Jinsung Yoon;James Jordon;Mihaela van der Schaar

  • DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks

    Changhee Lee;William R. Zame;Jinsung Yoon;Mihaela van der Schaar

  • The MPEG-4 fine-grained scalable video coding method for multimedia streaming over IP

    H.M. Radha;M. van der Schaar;Yingwei Chen

  • Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants.

    Ahmed M. Alaa;Thomas Bolton;Thomas Bolton;Emanuele Di Angelantonio;Emanuele Di Angelantonio;James H. F. Rudd

  • Time-series Generative Adversarial Networks

    Jinsung Yoon;Daniel Jarrett;Mihaela van der Schaar

  • Modulation algorithm for a mpeg-4 fgs wireless transmission system

    Joseph Meehan;Der Schaar Mihaela Van

  • Adaptive cross-layer protection strategies for robust scalable video transmission over 802.11 WLANs

    M. van der Schaar;S. Krishnamachari;Sunghyun Choi;Xiaofeng Xu

  • Reputation-based incentive protocols in crowdsourcing applications

    Yu Zhang;Mihaela van der Schaar

  • PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees

    James Jordon;Jinsung Yoon;Mihaela van der Schaar

  • Cross-layer wireless multimedia transmission: challenges, principles, and new paradigms

    Unknown

  • Dynamic Pricing and Energy Consumption Scheduling With Reinforcement Learning

    Byung-Gook Kim;Yu Zhang;Mihaela van der Schaar;Jang-Won Lee

  • Context-Aware Proactive Content Caching With Service Differentiation in Wireless Networks

    Sabrina Muller;Onur Atan;Mihaela van der Schaar;Anja Klein

  • Personalized Education in the Artificial Intelligence Era: What to Expect Next

    Setareh Maghsudi;Andrew Lan;Jie Xu;Mihaela van der Schaar

  • Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data

    Changhee Lee;Jinsung Yoon;Mihaela van der Schaar

  • Sex Differences in Outcomes After STEMI: Effect Modification by Treatment Strategy and Age.

    Edina Cenko;Jinsung Yoon;Sasko Kedev;Goran Stankovic

  • Providing adaptive QoS to layered video over wireless local area networks through real-time retry limit adaptation

    Unknown

  • SISTEMA Y METODO DE CODIFICACION DE VIDEO AJUSTABLE A ESCALA.

    Chen Yingwei;Radha Hayder;Van Der Schaar Mihaela

  • In-band motion compensated temporal filtering

    Yiannis Andreopoulos;Adrian Munteanu;Joeri Barbarien;Mihaela Van der Schaar

  • Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN)

    Jinsung Yoon;Lydia N. Drumright;Mihaela van der Schaar

  • A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs

    Jie Xu;Kyeong Ho Moon;Mihaela van der Schaar

  • Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks

    Jinsung Yoon;William R. Zame;Mihaela van der Schaar

  • GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets

    Jinsung Yoon;James Jordan;Mihaela van der Schaar

  • Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes

    Ahmed M. Alaa;Mihaela van der Schaar

  • VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain

    Jinsung Yoon;Yao Zhang;James Jordon;Mihaela van der Schaar

Frequent Co-Authors

Shaolei Ren
Shaolei Ren University of California, Riverside
Hayder Radha
Hayder Radha Michigan State University
Peter Schelkens
Peter Schelkens Vrije Universiteit Brussel
Lina Badimon
Lina Badimon Hospital de la Santa Creu i Sant Pau
Jang-Won Lee
Jang-Won Lee Yonsei University
Yiannis Andreopoulos
Yiannis Andreopoulos University College London
Shuvra S. Bhattacharyya
Shuvra S. Bhattacharyya University of Maryland, College Park
David Atienza
David Atienza École Polytechnique Fédérale de Lausanne
Anna Scaglione
Anna Scaglione Cornell University
R. Michael Buehrer
R. Michael Buehrer Virginia Tech

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