Hi!
I am Tiago Azevedo, a research associate at the Department of Computer Science and Technology, at the University of Cambridge. In this same department, I completed a PhD degree in computer science under the supervision of Prof. Pietro Lio', where I explored applications of machine learning in neuroscientific and genetic scenarios with a focus on graph representation learning. I was previously a research scientist at Arm, where I worked with efficient probabilistic ML modelling and graph neural networks.
I broadly like to research applications of artificial intelligence in the real world, with a particular interest in the medical and biological domains. I leave some details about me in this website, but please feel free to contact me for a more detailed CV.
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I am Tiago Azevedo, a research associate at the Department of Computer Science and Technology, at the University of Cambridge. In this same department, I completed a PhD degree in computer science under the supervision of Prof. Pietro Lio', where I explored applications of machine learning in neuroscientific and genetic scenarios with a focus on graph representation learning. I was previously a research scientist at Arm, where I worked with efficient probabilistic ML modelling and graph neural networks.
I broadly like to research applications of artificial intelligence in the real world, with a particular interest in the medical and biological domains. I leave some details about me in this website, but please feel free to contact me for a more detailed CV.
(You can toggle between dark/light theme on the top right corner of the page!)
Experience
Research Associate
Jan 2023 - now
University of Cambridge, UK
Developing AI models for histology data within CHARM , one of the first ever EIC Transition Challenges projects, funded by the EU to support moving technologies from laboratories into the real world.
ML Research Scientist
Mar 2021 - May 2022
Arm Ltd., UK
Worked individually, with the wider team, and with interns, while submitting patents, scientific papers, and involved in tech transfer with other teams. Contributed to an open-sourced framework for probabilistic models.
ML Research Intern
Jun 2020 - Aug 2020
Arm Ltd., UK
Worked with Dr Partha Maji on efficient probabilistic ML modelling for object detection.
Supervisor
Oct 2016 - May 2020
University of Cambridge, UK
Supervised Object-Oriented Programming, Databases, and Machine Learning and Real-World Data. Supervised more than 30 groups - around 70 students from 11 colleges. Supervised 4 Part II dissertations, one received a prize for highly commended dissertation.
Research Assistant
Dec 2015 - Jul 2016
Faculty of Engineering, University of Porto, Portugal
Worked in the Artificial Intelligence and Computer Science Laboratory (LIACC). Developed models of railway quality under the In2Rail project, funded by the European Union.
Musician
Nov 2012 - Jul 2016
Several places, Portugal
Maintained a musical activity as a flautist performer, teacher, and conductor, playing a large range of music genres.
Education
PhD in Computer Science
2016-2022
University of Cambridge, UK
Supervisor: Prof. Pietro Lio'
Thesis: Data-driven representations in brain science: modelling approaches in gene expression and neuroimaging domains
Thesis: Data-driven representations in brain science: modelling approaches in gene expression and neuroimaging domains
Master in Informatics and Computing Engineering
2010-2015
Faculty of Engineering, University of Porto, Portugal
Grade: 19 out of 20 (first of my class)
Thesis: From the Ground to the Cloud: Towards an Integrated Transportation Simulation Platform
Thesis: From the Ground to the Cloud: Towards an Integrated Transportation Simulation Platform
Complementary Course of Flute
2005-2012
Conservatory of Music of Gaia, Portugal
Grade: 17 out of 20
Recent Publications
Communications Medicine, 2023 [to appear]
Medical Image Analysis, 2022
Bayesian Deep Learning Workshop @ NeurIPS 2021
npj Systems Biology and Applicationa, 2021
Deep Learning for Geometric Computing Workshop @ ICCV 2021 [Best Student Paper]
Frontiers in Genetics 2021
Research Community Involvement
Conferences reviewer
- ICML 23, LoG 22, NeurIPS 22, ICLR 22 (highlighted ), WACV 21/22
Workshops reviewer
- AI4Science @ ICML 22 (awarded ), DGM4HSD @ ICLR 22, AI4Science @ NeurIPS 21/22, GCLR @ AAAI 21/22, GRL+ @ ICML 20, GRL @ NeurIPS 19
Event co-organiser
- The 1st IndabaX event in Mozambique. 26-28 Jul 2022
External collaborator
- On applied AI projects with a Mozambican team, specifically coral reef conservation and mapping coastal marine litter .
Volunteering
At HOT Tasking Manager
Jul 2020 - now
Humanitarian OpenStreetMap Team (HOT) is a global community that is mapping the places most vulnerable to disaster and poverty in order to support humanitarian aid and sustainable development across the world. I contribute every once in a while and my profile is here .
At Grão
2015/2016; 2017/2018; 2022/2023
9 months of intensive training sessions, fundraising activities, and regular volunteer actions in Porto, Portugal. 2 months of development work during 2016 Summer in Benguela, Angola, working with organisations in the field. During 17/18 and 22/23, held the External Relationships position and website management.
At Missão País
Feb 2015; Feb 2016
Together with college students, I went to a rural village in Portugal and worked with the community for one week.