PeopleofSuperintelligence

Researcher

Angelica Aviles-Rivero

Also known as Angelica I Aviles-Rivero

Angelica Aviles-Rivero is a machine-learning researcher whose work spans inverse imaging, graph learning, and medical image analysis. After earning a PhD at UPC–BarcelonaTech in 2017, she held research posts at Cambridge through 2024. She published semi-supervised models for chest X-rays and Alzheimer’s classification, and coauthored an inverse-imaging paper that won an ICML 2020 Outstanding Paper Award. At Tsinghua, she is an assistant professor at the Yau Mathematical Sciences Center and leads the Math+ML+X Lab.

Timeline

  1. 2017

    A PhD and a Cambridge post

    In 2017, she earns a PhD at UPC–BarcelonaTech in Spain under advisor A. Casals. At Cambridge, she joins the Department of Pure and Mathematical Statistics as a Research Associate in 2017.

  2. 2019

    Graph learning for chest X-rays

    In 2019, she coauthors GraphXNET, a graph-based semi-supervised method for classifying chest X-rays with very few labeled examples.

  3. 2020

    An ICML Outstanding Paper

    Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems wins an ICML 2020 Outstanding Paper Award. She coauthors the paper with Kaixuan Wei, Jingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, and Hua Huang.

  4. 2020

    Graph diffusion for COVID-19

    In 2020, she coauthors GraphXCOVID, a deep semi-supervised framework for classifying COVID-19 in chest X-rays. It diffuses labels from a small labeled set to provide pseudo-labels for a deep network.

  5. 2022

    A hypergraph for Alzheimer diagnosis

    In 2022, she coauthors a semi-supervised hypergraph framework for Alzheimer’s diagnosis that combines multimodal imaging and non-imaging data while requiring a tiny labeled set.

  6. 2022–2024

    Senior Research Associate at Cambridge

    She becomes a Senior Research Associate in Cambridge’s Department of Applied Mathematics and Theoretical Physics in 2022 and holds the role through 2024. Her Cambridge affiliations include CMIH, the Cantab Capital Institute for the Mathematics of Information, the Statistical Laboratory, and the Cambridge Image Analysis Group.

  7. 2022

    Secretary of SIAM SIAG/IS

    In 2022, she begins a term as Secretary of SIAM’s SIAG/IS.

  8. Since 2024

    Assistant professor at Tsinghua

    At Tsinghua, she is an assistant professor at the Yau Mathematical Sciences Center, a post she takes in 2024. The Math+ML+X Lab works at the intersection of mathematics, machine learning, and real-world applications.

Career

  1. Since 2024Tsinghua UniversityAssistant Professor
  2. From 2022Society for Industrial and Applied MathematicsSecretary
  3. 2017–2024University of CambridgeResearch Associate, Senior Research Associate

Education

  1. 2017Polytechnic University of CataloniaPhD

From the biography.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Angelica Aviles-Rivero. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Tsinghua University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  3. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Tsinghua University. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  4. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorateIncludes Tsinghua University. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorate. Across 2,116 people with both an undergraduate degree and a doctorate recorded, we trace which undergraduate schools feed which doctoral programs, how often students stay at the same school, and how paths differ by birth-country region.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Angelica Aviles-Rivero – Assistant Professor, YMSC, Tsinghua University angelicaiaviles.wordpress.com. Checked 20 October 2026.
  2. Angelica Aviles-Rivero – Qiuzhen College, Tsinghua University qzc.tsinghua.edu.cn. Checked 20 October 2026.
  3. GraphXNET: Chest X-Ray Classification Under Extreme Minimal Supervision arxiv.org. Checked 20 October 2026.
  4. Awards: Test of Time and Best Papers icml.cc. Checked 20 October 2026.
  5. GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays arxiv.org. Checked 20 October 2026.
  6. Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification arxiv.org. Checked 20 October 2026.
  7. MATH+ML+X Lab math-ml-x.github.io. Checked 20 October 2026.