- 05/2025: Stanford Artificial Intelligence in Medicine and IMaging Symposium
Invited Talk - 05/2025: CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences
Invited Talk - 05/2025: Harvard GenAI Symposium
Invited Talk - 05/2025: NAACL 2025: AI & Scientific Discovery Workshop
Keynote Talk - 04/2025: ICRL 2025: Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation
Keynote Talk - 04/2025: ICRL 2025: Machine Learning for Genomics Explorations
Keynote Talk - 04/2025: Harnessing Real-World Data and Informatics to Advance Discovery and Care for Chronic Neurological Disorders
Keynote Talk - 04/2025: CZI Cell Science Meeting 2025
Invited Talk - 04/2025: BioMed Conference Barcelona
Invited Talk on AI in drug discovery and biomedicine - 03/2025: CSHL Network Biology 2025
Invited Talk - 03/2025: AAAI 2025: Towards a Knowledge-grounded Scientific Research Lifecycle
Keynote Talk - 03/2025: AAAI 2025: Accelerate Science and Engineering (AI2ASE)
Keynote Talk - 02/2025: Harvard Immunology & Gene Lay Institute Seminar
Invited Talk - 02/2025: Human Genetics Programme, Wellcome Sanger Institute
Invited Talk - 12/2024: Virtual Cell Development, NeurIPS
Invited Talk - 11/2024: SLAS 2024 Data Sciences and AI Symposium
Keynote Talk - 11/2024: Rare Pediatric Lung Disease Research Summit
Invited Talk - 11/2024: Boehringer Ingelheim
Keynote on Advancing Drug Discovery with Multiomic Foundation Models and Generative AI - 10/2024: The Collaborative Center for X-Linked Dystonia-Parkinsonism Symposium
Invited Talk - 10/2024: The State of AI in Precision Health
Invited Talk - 09/2024: Connecting the Dots: Biology at Scale in the age of AI, Broad Institute
Invited Talk - 09/2024: CZI Cell Science Annual Meeting
Invited Talk - 08/2024: MLHC 2024
Keynote - 08/2024: ACL 2024
Invited Talk on Language + Molecules - 07/2024: Genome Graph Symposium 2024
Keynote - 06/2024: Menarini Conference
Invited Talk at AI and Network Medicine: Path to Precision Medicine - 06/2024: Harvard Medicine
Alumni Day - AI in Medicine - 06/2024: University of Pennsylvania
Biomedical Data Science Seminar Series - 05/2024: Broad Institute Models, Inference & Algorithms (MIA)
Broad MIA Seminar - 05/2024: The Web Conference
Invited Talk at Graph Foundation Models Workshop - 05/2024: Gates-Novo Nordisk Summit
Invited Presentation on Artificial Intteligence - 05/2024: Chan Zuckerberg Initiative
Invited Talk at Annual Science and Technology Meeting - 04/2024: Nature Conference on Advancing Health with AI
Invited Talk on Foundation AI Models for Molecular Discovery and Therapeutic Science - 04/2024: US National Academies of Science, Engineering and Medicine
AI in Drug Design: Part II – Foundation Modelsand Generative AI - 03/2024: US National Academies of Science, Engineering and Medicine
AI in Drug Design: Part I – Molecular Drug Discovery - 03/2024: TU Helmholtz Munich, Germany
Invited Seminar at Computational Health Center - 03/2024: Broad Institute
Invited Talk at Broad Cell Circuits and Epigenomics (CC&E) - 03/2024: Roche Advanced Analytics Network
Keynote on Efficient AI for Clinical Drug Development - 03/2024: Harvard AlphaMissense Townhall
Invited Talk on Foundation Models for Molecular Discovery - 02/2024: AAAI 2024
Keynote at Human-Centric Representation Learning Workshop - 02/2024: Harvard-Roche Symposium
Invited Talk on AI for Molecular Discovery and Drug Design - 02/2024: EveryCure Seminar Series
Invited Talk on Drug Repurposing - 02/2024: 2024 Harvard Data Science Annual Conference
Invited Talk at AI: A Serious Look at the Big Questions - 01/2024: PSB
Keynote at Assembling the Cell: Towards the Era of Cell Structural Bioinformatics Workshop - 01/2024: PSB
Keynote at Risk prediction: Methods, Challenges, and Opportunities Workshop - 12/2023: NeurIPS
Keynote at Temporal Graph Learning Workshop - 12/2023: NeurIPS
Keynote at New Frontiers in Graph Learning Workshop - 12/2023: NeurIPS
Keynote at New Frontiers of AI for Drug Discovery and Development Workshop - 12/2023: Machine Learning for Health Conference
Keynote - 11/2023: Single-Cell Biology Annual Meeting
Keynote - 11/2023: AASLD Liver Meeting
Invited Talk on Artificial Intelligence for the Diagnosis and Treatment of Liver Fibrosis - 11/2023: Global Symposium on Artificial Intelligence in Dentistry
Invited Talk - 10/2023: Merck
Data, AI & Genome Sciences Keynote - 10/2023: Chan Zuckerberg Initiative
Invited talk at Data-Driven Drug Repurposing - 10/2023: ICCV 2023
Invited talk at Computer Vision for Automated Medical Diagnosis - 09/2023: GlaxoSmithKline
Invited Seminar - 09/2023: Broad Institute
Eric and Wendy Schmidt Center Colloquim - 08/2023: Harvard CMSA Big Data Conference
Invited Talk - 06/2023: NSF-NIH Joint Workshop on Emerging AI in Biology
Invited Talk - 05/2023: Molecular Machine Learning Conference, Montreal, Canada
Keynote - 05/2023: Chan Zuckerberg Initiative
CZI Data Insights Talk - 05/2023: Harvard Center for Computational Biomedicine
CCB Seminar - 05/2023: Pfizer Integrative Biology Meeting
Keynote - 05/2023: Single Cell and AI in Medicine Symposium
Invited Talk - 04/2023: Harvard Program in Quantitative Genomics
Research Seminar - 03/2023: Advances in Targeted Therapies
Invited Talk - 03/2023: IBM Research
Research Seminar - 03/2023: NAS Kavli Frontiers of Science Symposium
33rd U.S. Kavli Frontiers of Science Symposium - 02/2023: Brigham and Women's Hospital
Channing Division of Network Medicine Methods Seminar - 01/2023: UCSD Genetics, Bioinformatics, and Systems Biology Colloquium
Geometric Deep Learning for Genomic Medicine and Therapeutic Design - 01/2023: International Symposium on AI for Health, Helmholtz Munich
Conference Keynote - 12/2022: Learning on Graphs Conference 2022
Conference Keynote - 12/2022: Learning on Graphs Conference 2022
Panelist on Graph Rewiring: From Theory to Applications in Fairness - 12/2022: NeurIPS 2022
Workshop on Graph Learning for Industrial Applications - 11/2022: CSHL
Biological Data Science - 11/2022: University of Michigan, Department of Computational Medicine & Bioinformatics
Department Seminar - 10/2022: CIKM 2022
Keynote at Trustworthy Learning on Graphs Workshop - 10/2022: IEEE VIS 2022
Workshop on Visualization in Biomedical AI - 10/2022: UW-Madison, Department of Biostatistics and Medical Informatics
Department Seminar - 09/2022: MICCAI 2022
Keynote at Workshop on GRaphs in biomedicAl Image anaLysis - 08/2022: US Department of Energy, Office of Biological and Environmental Research and BioEnergy Technologies Office
Artificial Intelligence for BioEnergy Research - 08/2022: KDD 2022
Keynote at Workshop on Mining and Learning from Time Series - 08/2022: KDD 2022
Keynote at Deep Learning Day - 07/2022: ISMB 2022
Keynote at Student Council Symposium - 06/2022: Pfizer, ASA, Northeastern & Columbia Symposium on Risks and Opportunities of AI in Clinical Drug Development
Panel on Ethical Issues in Clinical Drug Development - 05/2022: Cell Press
The future of medicine: development and applications of AI in disease biology and health care - 05/2022: Mila - Quebec AI Institute
Graph Representation Learning Seminar - 04/2022: UC San Diego
AI Seminar - 04/2022: AACR Annual Meeting 2022
Invited talk at Machine Learning to Translate the Cancer Genome and Epigenome Session - 04/2022: The Web Conference (WWW) 2022
Invited talk at International Workshop On AI In Health: Explainable AI For Better Health - 03/2022: Dagstuhl Seminar
Graph Embeddings: Theory meets Practice Seminar - 03/2022: Chan Zuckerberg Initiative
Research Seminar - 03/2022: NASA Science
NASA Science Working Group Seminar - 02/2022: AAAI 2022
Invited talk at AAAI Workshop on Deep Learning on Graphs: Methods and Applications (DLG) - 12/2021: IEEE Big Data
Keynote at Graph Techniques for Adversarial Activity Analytics (GTA3) - 12/2021: SIMBig 2021
Keynote at International Conference on Information Management and Big Data (SIMBig) - 11/2021: University of Cambridge
Invited Seminar at Making Connections - Brains & Other Complex Systems - 11/2021: University of Cambridge
Invited Talk at Isaac Newton Institute for Mathematical Sciences - 11/2021: Yale University
Invited Talk at Yale Network Science Institute - 11/2021: AMIA 2021
Invited Talk at Graph Based Machine Learning for Healthcare: State of the Art, Challenges, and Opportunities - 10/2021: Google Research
Invited Talk at Google Scalable Algorithms for Semi-supervised and Unsupervised Learning Workshop - 10/2021: International Conference on Automated Knowledge Base Construction (AKBC)
Invited Talk at Explainable Graph-based Machine Learning - 08/2021: KDD 2021
Keynote at KDD Workshop on Data Mining in Bioinformatics - 08/2021: KDD 2021
Keynote at KDD Workshop on Knowledge Graphs - 08/2021: KDD 2021
Invited talk at KDD Cup Workshop - 08/2021: 2021 AIMI Symposium
Stanford Symposium on Artificial Intelligence in Medicine and Imaging - 08/2021: IBM Research
IBM Research Seminar - 07/2021: ISMB/ECCB 2021
Keynote at Bio-Ontologies - 07/2021: ISMB/ECCB 2021
Keynote at Network Biology - 07/2021: Johnson & Johnson
Johnson & Johnson Seminar - 07/2021: Trustworthy Machine Learning Initiative
Trustworthy ML Seminar - 07/2021: London Geometry and Machine Learning
Geometry and Deep Learning - 06/2021: Cleveland Clinic
National Science Foundation Workshop on The Present and the Future of Artificial Intelligence in Biomedical Research - 06/2021: AIME 2021
Keynote at eXplainable AI in Healthcare - 05/2021: Bayer Foundation
Bayer Research Seminar - 05/2021: 23andMe
23andMe Research Seminar - 05/2021: Genentech
Genentech Research Seminar - 05/2021: MIT Lincoln Laboratory
Graph Exploitation Symposium (GraphEx) [MIT News] - 05/2021: Broad Institute
Models, Inference & Algorithms Seminar [Seminar Materials] [Primer Materials] - 05/2021: ICLR 2021
Geometrical and Topological Representation Learning - 04/2021: MLSys 2021
Keynote at Workshop on Graph Neural Networks and Systems - 04/2021: Keystone Symposia
Drug Development in the Digital Age - 03/2021: Cold Spring Harbor Laboratory
Network Biology Meeting - 03/2021: Stanford CS224W Machine Learning with Graphs
Graph Neural Networks in Computational Biology [Slides] - 03/2021: SOT 2021
Society for Toxicology Annual Meeting - 03/2021: University of Massachusetts Amherst
Machine Learning Seminar - 03/2021: U.S. FDA
AI Training Curriculum - 12/2020: University of Massachusetts Lowell
CS Colloquium - 12/2020: Purdue University
CS and Bioinformatics Seminar - 11/2020: MLCB 2020
Machine Learning in Computational Biology - 11/2020: University of Cambridge, England
Department of Computer Science and Technology - 10/2020: MIT
MIT AI Cures - 10/2020: Harvard Center of Mathematical Sciences and Applications
New Technologies in Mathematics Seminar Series - 08/2020: KDD 2020
Workshop on Knowledge Graphs: Mining Knowledge Graphs for Deep Insights - 07/2020: ISMB/ECCB 2020
BioVis - 06/2020: Notre Dame University, USA
NSF Workshop on Future Directions in Network Biology - 05/2020: MA, US
Emerging Academic Symposium, GlaxoSmithKline - 04/2020: Dagstuhl Seminar, Germany
Visualization of Biological Data -- From Analysis to Communication - 04/2020: Harvard
B3D Seminar, Harvard Biomedical Informatics and Biostatistics - 03/2020: MA, US
AstraZeneca - 03/2020: MIT
MIT Bioinformatics Seminar, MIT Math & CSAIL - 02/2020: MA, US
Network Science Institute, Northeastern University - 01/2020: Switzerland
Applied Machine Learning Days - 01/2020: MA, US
Beth Israel Deaconess Medical Center, Harvard Newborn Health Services and Epidemiology - 12/2019: NeurIPS 2019
Graph Representation Learning Workshop (GRL) - 10/2019: 22nd International Conference on Discovery Science
Representation Learning as a New Approach to Biomedical Research, Keynote slides - 09/2019: 2019 FDA Science Forum
Advancing Digital Health and Artificial Intelligence - 08/2019: NIH, NSF
Establishing a 2020 Vision for Genomics - 07/2019: ISMB/ECCB 2019
Keynote at Machine Learning in Computational and Systems Biology - 07/2019: ISMB/ECCB 2019
Network Biology - 05/2019: NetSci 2019
Network Medicine: Getting connected: Systems medicine and networks - 05/2019: ICGEB-TRAIN 2019
Data Science for Virtual Screening and Drug Discovery - 02/2019: CEHG 2019
Annual Symposium on Computational, Evolutionary and Human Genomics - 12/2018: NeurIPS 2018
Relational Representation Learning (R2L) - 11/2018: Broad Institute of MIT and Harvard
Next Generation in Biomedicine Symposium - 10/2018: MIT EECS
Rising Stars in EECS - 10/2018: National Academies of Sciences
Forum on Drug Discovery, Development, and Translation - 09/2018: EMBL-EBI
Workshop on Machine Learning in Drug Discovery and Precision Medicine - 09/2018: CERC 2018, Stanford University
National Guest Scholar - 08/2018: AiMIE 2018
AI in Medicine: Inclusion & Equity