Hi! I'm Tia.
I am a second-year Masters student at Carnegie Mellon University pursuing an MS in Artificial Intelligence and Innovation. My research interests lie in trustworthy machine learning and natural language processing.
At CMU, I had the opportunity to conduct research and collaborate with Prof. Alan W. Black on a project involving text normalization for low-resource languages. I also worked with Prof. Maarten Sap to systematically survey social biases in text-to-image diffusion models. In 2021, I graduated top of my class with a high first from The University of Edinburgh with a BSc (Hons) in Artificial Intelligence and Computer Science. My undergraduate honors thesis on mitigating dataset bias in computer vision by artificially generating data from minority classes using GANs under the supervision of Prof. Ajitha Rajan received an outstanding thesis classification.
|Jan 5, 2023||Our paper “Men Have Feelings Too: Debiasing Sentiment Analyzers using Sequence Generative Adversarial Networks” is accepted to the Artificial Intelligence for Social Good Workshop at AAAI 2023 as an oral presentation 🎉|
|Jun 24, 2022||Our paper “Text Normalization for Speech Systems for All Languages” is accepted to the Speech for Social Good Workshop at INTERSPEECH 2022 🎉|
|May 23, 2022||Started my AI/ML internship with the Information Intelligence (Search Quality) team at Apple 👩🏻💻🍎|
|Sep 26, 2021||Won BigRed//Hacks at Cornell University with my new friends at CMU 🤓|
|Aug 30, 2021||Started my Masters in Artificial Intelligence and Innovation at Carnegie Mellon University 🇺🇸|
|Jul 2, 2021||Graduated top of my class with a first class honors from The University of Edinburgh with a BSc in Artificial Intelligence and Computer Science! 👩🏻🎓🏴|
|Jun 22, 2021||My undergraduate thesis “Assessing Dataset Bias in Computer Vision” received an outstanding classification (blind double marking) from the School of Informatics at the University of Edinburgh 🎉|