- 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