Athiya Deviyani

Hi! I'm Tia.

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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)!
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 👩🏻‍💻🍎

selected publications

  1. AAAI
    Men Have Feelings Too: Debiasing Sentiment Analyzers using Sequence Generative Adversarial Networks
    Deviyani, Athiya, Malik, Mehak,  Widjaja, Haris and 1 more author
    In AAAI’23 Workshop on Artificial Intelligence for Social Good Feb 2023
  2. INTERSPEECH
    Text Normalization for Speech Systems for All Languages
    Deviyani, Athiya,  and Black, Alan W.
    In INTERSPEECH’22 Workshop on Speech for Social Good Sep 2022
  3. UoE
    Assessing Dataset Bias in Computer Vision
    Deviyani, Athiya
    In The University of Edinburgh Outstanding Undergraduate Dissertations Jun 2021