TALKS

Invited Talks

• "Bringing the benefits of Generative AI to healthcare through responsible innovation". 21st IEEE International Symposium on Biomedical Imaging, May 2024.

• "Exploring fairness in the transductive setting for neuroimaging studies". Fairness of AI in Medical Imaging Workshop, October 2022.

• "Advancing Neuroimaging with Graph Representation Learning". SIAM Conference on Mathematics of Data Science (MDS22), September 2022.

• "Graph Representation Learning in Health Applications and Fairness Considerations". RE-WORK Deep Learning Summit, September 2022.

• "Algorithmic Biases in Recommender Systems". Seminar at ECE department of University of Patras, April 2022.

• "Graph representations and algorithmic transparency in life sciences". CitAI seminar, December 2021.

• "Graph representation learning in healthcare and beyond". Women in Data Science Conference, March 2021.

• "Graph neural networks in Connectomics and beyond". UCL Workshop on Geometry and Machine Learning with Applications to Biomedical Engineering, September 2020.

• "Graph representations in Deep Learning". Women Driven Development Conference, January 2020.

• "From 100 Billion Neurons to 200 Billion Tweets". RE-WORK Women in AI Dinner, January 2020.

• "Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction". 13th ACM Recommender Systems Conference, September 2019.

• "Deep learning on graphs for neuroimaging". London Computer Vision Meetup, May 2019.

• "Deep learning on graphs". Tutorial on Deep Learning for Medical Imaging, MICCAI, September 2018.

• "Learning from graph-structured neuroimaging data". Developments in Healthcare Imaging, Turing Gateway to Mathematics, Cambridge University, May 2018. 

• "Brain connectivity in acute ischemic stroke patients: towards prediction of functional outcome". Stroke Research Center, Massachusetts General Hospital (MGH), Harvard Medical School, February 2018.

• "Computational analysis and modeling of graph-structured neuroimaging data". SBIA, University of Pennsylvania (UPenn), December 2017.

• "Computational analysis and modeling of graph-structured neuroimaging data". CSAIL, Massachusetts Institute of Technology (MIT), December 2017.

• "Learning from graph-structured neuroimaging data". Stroke Research Center, Massachusetts General Hospital (MGH), Harvard Medical School, September 2017.

• "Exploring Heritability of Functional Brain Networks with Inexact Graph Matching". IEEE International Symposium on Biomedical Imaging (ISBI), April 2017.

• "Computational Analysis and Modelling of Functional Brain Networks".  Signal Processing Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), July 2016.

• "A virtual reality platform for safe evaluation and training of natural gaze-based wheelchair driving". 7th International IEEE/EMBS Conference on Neural Engineering (NER), April 2015.