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

• 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