Aniko Hannak is an Assistant Professor at the computer science department of the University of Zürich. She received her PhD from the College of Computer & Information Science at Northeastern University advised by Alan Mislove and David Lazer.

Broadly, Aniko Hannak work investigates a variety of content serving websites such as Search Engines, Online Stores, Job Search Sites or Freelance Marketplaces. In this quickly changing online ecosystem companies track users' every move and feed the collected data into big data algorithms in order to match them with the most interesting, most relevant content. Since these algorithms learn on human data they are likely to pick up on social biases and unintentionally reinforce them. In her PhD work she created a methodology called Algorithmic Auditing which tries to uncover the potential negative impacts of large online systems. Examples of such audits include examining the «Filter Bubble effect» on Google Search, online price discrimination or detecting inequalities in online labor markets.