Communication

Selected Talks:

• Lunit, Seoul – Invited by Dr. Sergio Pereira, Sep 2024
  “Multimodal Representation Learning in AI for Pathology’’

• UniBe, Bern – Invited by Prof. Inti Zlobek, May 2024
  “3D Computational Pathology: Towards Enhanced Patient Prognostication’’

• CHUV, Lausanne – Invited by Prof. Raphael Gottardo, May 2024
  “Towards General-Purpose AI Models for Histology’’

• MIT, Boston – Guest lecturer, MIT-6.S915,Jan 2024
  “Slide Representation Learning in Computational Pathology’’

• PariSanté Campus, Paris – Keynote speaker, AI4Health Summer School,July 2023
  “Deep Learning for Pathology Image Analysis’’

• University of Bern, Bern – Invited by Prof. Inti Zlobek,July 2023
  “Latest trends in Computational Pathology’’

• UC Berkeley, Berkeley – Invited by Prof. Iain Carmichael,Nov 2022
  “A Tour of Computational Pathology: Methods and Applications’’

• Dana-Farber Cancer Institute, Boston – Invited by Prof. Eliezer Van Allen, Sep 2022
  “Interpretable Deep Learning in Computational Pathology”

• Symposium on Digital Pathology in the DACH Region, Bern – Invited by Prof. Inti Zlobek, Feb 2022
  “Graph Representation Learning in Computational Pathology”

• Tissue Image Analytics Centre, Warwick – Invited by Prof. Nasir Rajpoot, Oct 2021
  “HistoCartography: Graph representations and models in Computational Pathology”

• Charité University Hospital, Berlin, Oct 2021
  “Graph Representations and Models in Digital Pathology”

• PathAI, New York, July 2021
  “Weakly-Supervised Learning for Whole-Slide-Image Segmentation”

• Harvard Medical School, Boston – Invited by Prof. Faisal Mahmood, July 2021
  “A Graph Network Tour of Computational Pathology”

• Lausanne University Hospital (CHUV), Lausanne, May 2021
  “Computational Pathology: Building Interpretable AI at Scale”

• Swiss Digital Pathology Consortium (SDiPath), Bern, Jan 2021
  “Graph Representation Learning & Explainability in Computational Pathology”

• Computer Research Institute of Montreal (CRIM), Montreal, Nov 2020
  “Deep Learning on Graphs: An Overview” [Code]

• 10+ Internal IBM Talks, Zurich, 2019-2021
  IBM Research, IBM Watson, IBM Global Business Services

Workshops:

• IEEE International Symposium on Biomedical Imaging (ISBI), Kolkata March 2022
  “BRIGHT: BReast tumor Image classification on Gigapixel HisTopathological images”

• American Medical Informatics Association (AMIA), San Diego Nov 2021
  “Workshop on Explainable Multimodal AI in Cancer Patient Care”

• Applied Machine Learning Days (AMLD), Lausanne April 2021
  “Building Interpretable AI for Digital Pathology” [Code]