Toward Generalist AI Models in Pathology
AbbVie, Chicago
May 2025
Invited by Dr. Sara Yarmohammadi
Toward Generalist AI Models in Pathology
Microsoft Research, Boston
April 2025
Invited by Dr. Kristen Severson
Advancing Translational Research with AI in Oncologic Pathology
CRUK, University of Cambridge
March 2025
Invited by Prof. Florian Markowetz
AI for Computational Toxicologic Pathology
Novartis, Boston
March 2025
Invited by the Digital Pathology and Image Analysis Interest Group
Bringing Spatial Transcriptomics into The World of Deep Learning
University of Sydney
March 2025
Invited by SPDS Statistical Bioinformatics Seminar
Scaling Spatial Transcriptomics and Histology with HEST
Owkin, Paris
December 2024
Invited by Alexandre Filliot
AI for Preclinical Drug Safety Assessment
Roche, Basel
November 2024
Invited by Dr. Kevin Thandiackal
Multimodal Representation Learning in AI for Pathology
Lunit, Seoul
September 2024
Invited by Dr. Sergio Pereira
3D Computational Pathology: Towards Enhanced Patient Prognostication
UniBe, Bern
May 2024
Invited by Prof. Inti Zlobek
Towards General-Purpose AI Models for Histology
CHUV, Lausanne
May 2024
Invited by Prof. Raphael Gottardo
Deep Learning for Pathology Image Analysis
PariSanté Campus, Paris
July 2023
Keynote speaker, AI4Health Summer School
Latest trends in Computational Pathology
University of Bern, Bern
July 2023
Invited by Prof. Inti Zlobek
A Tour of Computational Pathology: Methods and Applications
UC Berkeley, Berkeley
November 2022
Invited by Prof. Iain Carmichael
Interpretable Deep Learning in Computational Pathology
Dana-Farber Cancer Institute, Boston
September 2022
Invited by Prof. Eliezer Van Allen
Graph Representation Learning in Computational Pathology
Symposium on DigPath in the DACH Region, Bern
February 2022
Invited by Prof. Inti Zlobek
HistoCartography: Graph representations and models in Computational Pathology
Tissue Image Analytics Centre, Warwick
October 2021
Invited by Prof. Nasir Rajpoot
Graph Representations and Models in Digital Pathology
Charité University Hospital, Berlin
October 2021
Weakly-Supervised Learning for Whole-Slide-Image Segmentation
PathAI, New York
July 2021
A Graph Network Tour of Computational Pathology
Harvard Medical School, Boston
July 2021
Invited by Prof. Faisal Mahmood
Computational Pathology: Building Interpretable AI at Scale
Lausanne University Hospital (CHUV), Lausanne
May 2021
Graph Representation Learning & Explainability in Computational Pathology
Swiss Digital Pathology Consortium (SDiPath), Bern
January 2021
Deep Learning on Graphs: An Overview
Computer Research Institute of Montreal (CRIM), Montreal
November 2020
10+ internal talks at IBM
IBM Research, IBM Watson, IBM Global Business Services
2019-2021
Various internal presentations across IBM divisions