Program Committee

  • Area Chair, RAI @ ICLR 2021: Workshop on Responsible AI

  • Program Committee, WCDMDE @ NeurIPS 2020: Workshop on Consequential Decision Making in Dynamic Environments

  • Program Committee, FAccTRec @ RecSys 2020: Workshop on Fairness, Accountability and Transparency in Recommender Systems

  • Reviewer: I regularly serve as a reviewer for conferences in the areas spanning Machine Learning | Data Mining | Information Retrieval

Invited Talks

  • Fairness without Demographics through Adversarially Reweighted Learning
    Google Boulder, September 2021

  • Fairness in Machine Learning: Challenges and Approaches
    MSR Seminar Series @ Microsoft Research, Montreal, Canada, Dec 2020

  • ML Fairness in Practice: Challenges and Approaches
    Search Engine Meetup, Amsterdam, Netherlands, Nov 2020

  • Operationalizing Individual Fairness for Algorithmic Decision Making
    FACTS-IR @ SIGIR 2019, Paris, France, July 2019

  • Fairness in Algorithmic Decision Making (Best Poster Award)
    Women in Big Data 2019, Zurich, Switzerland, June 2019

Co-advising | Mentoring

  • Anubrata Das (Ph.D. Intern, UT Austin)

  • Ayan Majumdar (M.Sc. Thesis, Saarland Uni.)

  • Radu Marginean (M.Sc. Intern, Uni. Zagreb)


  • Teaching Assistant, Human Centered Machine Learning
    Saarland University, Germany, Winter 2018-2019

  • Teaching Assistant, Information Retrieval and Data Mining
    Saarland University, Germany, Winter 2017-2018

  • Teaching Assistant, Machine Learning and Data Mining
    Aalto University, Finland, Autumn/Spring 2016-2017