Athiya Deviyani
Hi! I'm Tia.
I am a second-year PhD student at Carnegie Mellon University’s Language Technologies Institute, advised by Prof. Fernando Diaz. My research surrounds trustworthy ML/NLP, focusing on developing robust and rigorous evaluation frameworks. My projects involve exploring quantitative methods to ensure we are using the right tools to measure the right things in the right way.
I am also a part-time researcher at Netflix, working on algorithmic identity modeling for recommender systems. I’ve also done several representation learning projects in industry, such as introducing graph-based neural embeddings and efficiently fine-tuning LLMs for Siri Search at Apple.
Before that, I was fortunate to have worked with Prof. Alan W. Black and Prof. Maarten Sap during my master’s at CMU, and with Prof. Ajitha Rajan and Prof. Steven Wilson during my undergrad at The University of Edinburgh.
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 👩🏻💻🍎 |