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 2021Fairness in Machine Learning: Challenges and Approaches
MSR Seminar Series @ Microsoft Research, Montreal, Canada, Dec 2020ML Fairness in Practice: Challenges and Approaches
Search Engine Meetup, Amsterdam, Netherlands, Nov 2020Operationalizing Individual Fairness for Algorithmic Decision Making
FACTS-IR @ SIGIR 2019, Paris, France, July 2019Fairness 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 2018-2019Teaching Assistant, Information Retrieval and Data Mining
Saarland University, Germany, Winter 2017-2018Teaching Assistant, Machine Learning and Data Mining
Aalto University, Finland, Autumn/Spring 2016-2017