Gerard Martí Juan
PhD Candidate. Machine learning, neurodegenerative diseases.
Currently
I’m a third year PhD candidate at Universitat Pompeu Fabra, at the SIMBIOsys research group. My research is focused on applying machine learning, data science and statistical methods to study Alzheimer’s Disease, integrating heterogeneous, longitudinal medical data.
Employment
Sept 2015-June 2016
Universitat Politècnica de Catalunya. International relations department, assistant.
Education
2016-
Universitat Pompeu Fabra Computer Science, Biomedical Engeering PhD (supervisors: Gerard Sanromà and Gemma Piella). Ongoing.
2015-16
Universitat Autònoma de Barcelona MSc in Computer Vision. Msc Thesis named “Face verification in video sequence annotation using convolutional neural networks”.
2011-15
Universitat Politècnica de Catalunya BSc in Computer Engineering. Bsc Thesis named “Collaborative Total Variation Regularization of Hyperspectral Images”, done in Technische Universität München (TUM).
Presentations
2018-2019
Deep Learning reading group, various participations (Universitat Pompeu Fabra)
2017
PhD Thesis proposal “Longitudinal modelling of neurodegenerative disease progression using machine learning techniques” (Universitat Pompeu Fabra)
2016
Multimodal Person Discovery in Broadcast TV (MediaEval 2016, Amsterdam). Available here
Teaching
2019
Biomedical Image Analysis, Degree in Biomedical Engineering. Laboratory sessions (Universitat Pompeu Fabra)
Computational Techniques in Biomedicine II, Degree in Biomedical Engineering. Laboratory sessions (Universitat Pompeu Fabra)
Statistics, Department of Communication and Information Technologies. Laboratory and seminar sessions (Universitat Pompeu Fabra)
2018
Biomedical Image Analysis, Degree in Biomedical Engineering. Laboratory sessions (Universitat Pompeu Fabra)
Computational Techniques in Biomedicine II, Degree in Biomedical Engineering. Laboratory sessions (Universitat Pompeu Fabra)
2017
Computer Organization, Department of Communication and Information Technologies. Laboratory and seminar sessions (Universitat Pompeu Fabra)
Posters
2019
Multivariate non-linear analysis of ApoE4 allele effect on hippocampal surface morphology in healthy individuals DTIC workshop (Barcelona, ES)
Heterogeneity of longitudinal brain imaging phenotypes in Alzheimer’s disease based on unsupervised clustering of blood marker profiles Computer Assisted Radiology and Surgery (CARS) (Rennes, FR)
2018
Data driven clustering for Alzheimer’s disease subtyping characterization DTIC workshop (Barcelona, ES)
2017
DTIC workshop (Barcelona, ES)
2016
Face verification in video sequence annotation using convolutional neural networks MediaEval (Amsterdam, NL)
Publications
2019
Martí-Juan G, Sanroma G, Piella G. Revealing heterogeneity of brain imaging phenotypes in Alzheimer’s disease based on unsupervised clustering of blood marker profiles. PLoS One. 2019;14(3). DOI: https://doi.org/10.1371/journal.pone.0211121
Martí-Juan G, Sanroma G, Piella G. Machine learning for longitudinal analysis of neuroimaging data in Alzheimer’s Disease: a review [Under review]
2017
Nam Le, Hervé Bredin, Gabriel Sargent, Miquel India, Paula Lopez-Otero, Claude Barras, Camille Guinaudeau, Guillaume Gravier, Gabriel Barbosa da Fonseca, Izabela Lyon Freire, Zenilton Patrocínio, Jr, Silvio Jamil F. Guimarães, Gerard Martí, Josep Ramon Morros, Javier Hernando, Laura Docio-Fernandez, Carmen Garcia-Mateo, Sylvain Meignier, and Jean-Marc Odobez. 2017. Towards large scale multimedia indexing: A case study on person discovery in broadcast news. In Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing (CBMI ‘17). ACM, New York, NY, USA, Article 18, 6 pages. DOI: https://doi.org/10.1145/3095713.3095732
2016
India M, Martí G, Cotillas C, Bouritsas G, Sayrol E, Morros JR, et al. UPC System for the 2016 MediaEval Multimodal Person Discovery in Broadcast TV task. In MediaEval 2016 Workshop. Hilversum, The Netherlands; 2016. Available at: https://upcommons.upc.edu/handle/2117/101709
Technical skills
- R
- Python
- C++
- Java
- Matlab
- LaTeX
- Bash
- Git
- Cluster computing (HPC)
- Tensorflow
- Keras
- Pytorch
Areas of expertise
- Bioinformatics
- Statistics
- Machine learning
- Data visualisation
Projects
I have a personal GitHub account where I post project, code and implementations of interesting papers and projects relevant to my research. I also try to maintain a small blog at gerardmjuan.github.io, with introduction to side-projects, solutions to problems I run across during my PhD, and general coding tips.