I'm a PhD student interested in Neural Networks.
I have skills and experience in research, data science, teaching and coding.
Am working on Data Generation methods for the DaFne project
Winter 2021/2022 - Present
Created pipeline for auto-marking university assignment submissions.
Autumn 2020 - Spring 2021
I'm a demonstrator for the COMP108 module coordinated by Prof. Prudence Wong.
Winter 2020/2021 - Spring 2021
Assisted Dr. Gregory Palmer with research at the university's Geographic Data Science Laboratory.
Coded data visualisations that provide interesting insights to users of the LiftUpp App.
Graduated with Merit
Worked on presentations and workshops introducing kids to Computer Science.
Helped prepare the venue and ensure the conference ran smoothly.
Gregory Palmer, Mark Green, Emma Boyland, Yales Stéfano Rios Vasconcelos, Rahul Savani, and Alex Singleton. A deep learning approach to identify unhealthy advertisements in street view images. Scientific reports, 11(1):1-12, 2021
· Data Generation
· Smart Cities
· Ensemble Learning
· Federated Learning
· Deep Learning
Experience with Tensorflow, Keras, Scikit-Learn
Experience with Pandas, Jupyter, NumPy, Python, SciPy, R, GeoPandas, Seaborn, PySAL, Spark, Hadoop
Manage personal (Arch) Linux server for Cloud Computing. Comfortable with the terminal, Bash scripting and system maintenance. Experience with Azure.
Fluent in English and Portuguese, advanced Spanish, beginner German.
Working on an uncertainty visualisation that uses Neural Network metadata to show how Neural Networks in an ensemble disagree about the reasons why they made a prediction.
My 2015 Google Science Fair group built a prototype of a device that used Computer Vision to describe what is in front of a visually-impaired person.
Participated in various RoboCups in João Pessoa, Brazil on the Cidade Viva team while in school.