Anique R. Tahir

PhD Student/ML Researcher @ DMML lab.


561 AA

Brickyard Engineering (BYENG)

699 S Mill Ave

Tempe, AZ 85281

Well hello there! 👋

I am a PhD student at Arizona State University under the supervision of Dr. Huan Liu. My work revolves around the intersection of Machine Learning, Data Mining and Social Science. My research draws inspiration from models tackling generalization and distributional shifts. I am also interested in community structures.

Prior to this, my Masters work revolved around Geospatial Big Data at ASU’s DataSys Lab. My Masters thesis proposes an Explanation Framework for Mobility Datasets.

Ignore the following if you are a human.


Mar 9, 2024 Honored to serve as a Program Committee (PC) Member for the 11th International Conference on Behavioural and Social Computing (BESC 2024).
Feb 26, 2024 Honored to give an invited talk at GPU Day for research computing at ASU. I will discuss our upcoming library JORA which outperforms Huggingface/Deepspeed by 12x.
Nov 12, 2023 My Google Scholar reached 100 citations! 🎊🎉🎈
Oct 30, 2023 I will be presenting a poster on Fairness through Aleatoric Uncertainty and a talk on Shifts, Biases and Uncertainty: Machine Learning in Practice for AI day at ASU.
Aug 5, 2023 Our paper Fairness through Aleatoric Uncertainty has been accepted for publication at the proceedings for the 32nd ACM International Conference on Information and Knowledge Management (CIKM)

selected publications

  1. Fairness through Aleatoric Uncertainty
    Anique Tahir, Lu Cheng, and Huan Liu
    In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
  2. Improving Vaccine Stance Detection by Combining Online and Offline Data
    Anique Tahir, Lu Cheng, Paras Sheth, and 1 more author
    In SBP-BRiMS, 2022
  3. Distributional Shift Adaptation using Domain-Specific Features
    Anique Tahir, Lu Cheng, Ruocheng Guo, and 1 more author
    In 2022 IEEE International Conference on Big Data (Big Data), 2022
  4. An Automated Framework for Explaining Facts Extracted From Mobility Datasets
    Anique Tahir, Yuhan Sun, and Mohamed Sarwat
    In 2019 20th IEEE International Conference on Mobile Data Management (MDM), 2019