Athiya Deviyani
Hi! I'm Tia.
I am currently at Netflix as a Machine Learning Research intern working on algorithmic identity modeling for recommender systems. Say hi if you’re around the Bay Area! 🌁🌴
I am a first-year PhD student at the Language Technologies Institute in Carnegie Mellon University’s School of Computer Science, advised by Prof. Fernando Diaz. My research interests are trustworthy machine learning and natural language processing with a focus on evaluation, and the long-term societal and cultural impacts of intelligent systems.
In 2023, I graduated with a Master’s in Artificial Intelligence and Innovation, also from 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.
news
May 30, 2024 | I will be presenting our poster on “Measuring Local Accuracies to Assess Evaluation Metrics” at the 2024 Netflix Workshop on Personalization, Recommendation and Search (PRS)! |
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May 20, 2024 | Started my Machine Learning Research internship at the Algorithmic Identity team at Netflix! 🎬 |
Aug 25, 2023 | Started my Ph.D. at the Language Technologies Institute at Carnegie Mellon University’s School of Computer Science! 👩🏻🔬👩🏻💻 |
May 22, 2023 | Re-joined the Information Intelligence (Search Quality) team at Apple for my AI/ML internship 👩🏻💻🍎 |
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 👩🏻💻🍎 |