PeopleofSuperintelligence

Researcher

Holger R. Roth

Also known as Holger Roth

Holger Roth is a medical-imaging AI researcher whose federated learning work at NVIDIA includes the NVIDIA FLARE SDK and the EXAM study of COVID-19 outcomes. He earned a PhD at University College London, spent 2013 to 2016 as a visiting research fellow at the National Institutes of Health Clinical Center, and coauthored the 2015 DeepOrgan paper on pancreas segmentation. In June 2018, he joined NVIDIA, and the 2018 MICCAI Young Scientist Publication Impact Award recognized his 2014 paper on lymph node detection. In 2021, he led the experiments in a Nature Medicine study of twenty hospitals that built EXAM, and in 2022 he was first author of the paper introducing NVIDIA FLARE. He is a Principal Federated Learning Scientist at NVIDIA, where he leads applied federated learning research.

Now at
NVIDIA
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Timeline

  1. 2003–2013

    From Würzburg to a UCL PhD

    He starts an electrical engineering degree at the University of Applied Sciences Würzburg-Schweinfurt in 2003 and earns an MSc in vision, image and signal processing at Heriot-Watt University in 2008. In 2009, he begins a PhD at University College London's Centre for Medical Image Computing, supervised by David Hawkes and Jamie McClelland, and works on the registration of highly deformable organs such as the colon until 2013.

  2. 2013–2016

    NIH fellowship and DeepOrgan

    From 2013 to 2016, he is a Visiting Research Fellow in the Imaging Biomarkers and Computer-Aided Diagnosis Laboratory at the National Institutes of Health Clinical Center in Bethesda, working with Ronald Summers and Le Lu. In 2015, he coauthors DeepOrgan with Lu, Summers and others, a multi-level deep convolutional network method for segmenting the pancreas in abdominal CT scans.

  3. August 2016–May 2018

    Assistant professor in Nagoya

    From August 2016 to May 2018, he is an Assistant Professor (Research) at Mori Laboratory, Nagoya University, in Japan.

  4. 2018

    A MICCAI publication impact award

    In 2018, he receives the MICCAI Young Scientist Publication Impact Award for his 2014 paper "A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations".

  5. June 2018

    Joining NVIDIA in Bethesda

    In June 2018, he joins NVIDIA as a Senior Applied Research Scientist in its deep learning for medical imaging research group in Bethesda, Maryland.

  6. 2021

    EXAM for COVID-19 outcomes

    In 2021, he coauthors the Nature Medicine paper on EXAM, a federated learning model that predicts the future oxygen requirements of symptomatic COVID-19 patients from vital signs, laboratory data and chest X-rays. He leads the experiments in the study, which brings together twenty hospitals around the globe.

  7. 2022

    The NVIDIA FLARE SDK

    In 2022, he is first author of the paper introducing NVIDIA FLARE, an open-source SDK for federated learning that works with PyTorch, TensorFlow, XGBoost or NumPy workflows and supports homomorphic encryption and differential privacy. The paper is accepted at the International Workshop on Federated Learning at NeurIPS 2022.

  8. As of October 2026

    Principal federated learning scientist

    He is a Principal Federated Learning Scientist at NVIDIA, where he leads applied federated learning research and contributes to the open-source NVIDIA FLARE framework. In 2026, he coauthors "Federated Learning in Healthcare: From Research to Real-World Deployment" in the Annual Review of Biomedical Engineering with Spyridon Bakas, Xiaoxiao Li and Prashant Shah.

Career

  1. Since 2018NVIDIASenior Applied Research Scientist
  2. 2016–2018Nagoya UniversityAssistant Professor (Research)
  3. 2013–2016National Institutes of HealthVisiting Research Fellow

Education

  1. 2013University College LondonPhD
  2. 2008Heriot-Watt UniversityMSc
  3. From 2003University of Applied Sciences Würzburg-SchweinfurtElectrical engineering degree

From the biography.

  1. Google has the highest combined h-index among AI organizationsIncludes NVIDIA. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.
  2. 20% of people at companies who shape AI also hold a university role, led by Google and Stanford UniversityIncludes NVIDIA. We estimate that 539 of the 6,766 people with a known current organization (8%) hold both a university role and a company role, including 20% of people at companies and 13% of people at universities.
  3. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes NVIDIA. We estimate that alumni of 17 major AI labs went on to found or lead 350 other organizations, including 226 they founded, and we trace 472 career moves directly between 23 labs since 2010.
  4. Universities (31%) and startups and other companies (25%) employ the largest shares of 2020–2026 entrantsIncludes NVIDIA. Among 819 people whose first recorded role started in 2020–2026 and who have a known current organization, 60% work in commercial sectors (25% at startups and other companies, 23% at frontier labs and 13% at big tech, with 9 in two), and 31% work at universities, compared with 66% for earlier entrants.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Holger Roth holgerroth.com. Checked 21 October 2026.
  2. Holger Roth | Research research.nvidia.com. Checked 21 October 2026.
  3. DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation arxiv.org. Checked 21 October 2026.
  4. Young Scientist Publication Impact Award - MICCAI Society miccai.org. Checked 21 October 2026.
  5. Federated learning for predicting clinical outcomes in patients with COVID-19 | Nature Medicine nature.com. Checked 21 October 2026.
  6. NVIDIA FLARE: Federated Learning from Simulation to Real-World arxiv.org. Checked 21 October 2026.