ABOUT
My name is Sine Ai Jing.
I am a London-based technologist and data analyst working at the intersection of creative coding, data analysis, and politics.
I am a graduate student of MSc Computing and Creative Industry (MOD) from the Creative Computing Institute at University of the Arts London. My studies and work have given my insight into data's potential and limitations - both as a business asset and as a tool for radical change.
My work revolves around accountability and literacy, leveraging a range of technologies and methodologies, including data scraping, visualisation, analysis, and machine learning.
DATA PROJECTS
Project data analysis and visualisation for Jarrow Insights LTD for reporting to external clients.
Utilised tools such as Numpy, MatPlotLib and Seaborn.
Final Project, CCI, Exploration of the VAE latent space
Through the ‘making’ and visualisation of a latent space, this project aims to uncover queer data potentials within the space looking both at the training data and the architecture of the AI model.
Concretely, I trained a generative Variational Autoencoder on images of sea slugs - a very queer creature of the sea!
The neural network was built with PyTorch and the latent space visualisation made with Three.JS and React.JS.
The work was exhibited at the Autonomous Sheep exhibition, "HARDWired: Decoding the Tech Unconscious" in Jan/Feb 2024.
Exam, Introduction to Data Science, CCI, 2023
Conducted data analysis using tools such as Pandas, NumPy, and MatPlotLib to explore the variance in gender gaps across different Standard Industrial Classification (SIC) codes. Tools were leveraged in order to identify patterns and explore interesting trends within the data, investigating how gender disparities manifest differently across various industries.
Exam, AI for Media, CCI, 2023
Prompted by studies and lived experiences showing how Black and People of Color’s symptoms, illnesses and pain are less likely to be taken seriously within western medical institutions, this project is an attempt to reimagine how to perceive, articulate and visualise pain.
Taking inspiration from the pain chart used in many US medical institutions to fill the gap between the patients' feeling of pain and symptoms and their description of it. Finetuning a
DistilGPT2 model with text statements about people experiences of pain and their visits to the doctor and generating on a Stable Diffusion model, I seek to interrogate how we are expected to talk about our pain versus how we actually talk about it. What does this do to our understanding and perceivement of pain, and it is possible to create a better, more relatable pain chart.
Exam, Personalisation and Machine Learning, CCI, 2023
This project investigates the relationship between a song’s success and whether it’s in English. This projects seeks to interrogate how and if the language used in a song influenced how the song will be recommended on the platform, Spotify.
Using the Spotify API, data from two registered user accounts is analysed to determine how language affects son recommendations. Utilising the langdetect library to identify song languages as well as employing data analysis tools such as Pandas, NumPy, and MatPlotLib.
OTHER PROJECTS
Autonomous Sheep is a London based collective of creative coders and artists exploring the intersections between art and technology through mixed media installations, workshops and talks.
Our first exhibition "HARDWired: Decoding the Tech Unconscious" took place in January/February 2024.
My work “Noticing Empty Space” was exhibited for the second time here.
Been part of the team at Tinker Studios since February 2024 delivering interactive workshops for kids aged 8-12 at The Design Museum, London. Hardware and software varies from workshop to workshop but always revolves around creative learning of design principles and solution thinking through play and creation.
Utilising tools such as TinkerCad, Blender and blockcoding for the BBC micro:bit, the kids gain insight into game design, character- and world building as well as practical and technical skills such as essential coding logic and best practices.