Travel Schedule
2/26-2/28 Boston
3/1-3/3 Washington DC
3/5-3/7 New Haven
3/7-3/10 ETH Zurich
3/15-3/16 Providence
3/19-3/21 Virginia
3/21-3/23 Duke
3/26-3/28 Maryland
5/19 Tedx Talk
TBD Google Research
TBD DeepMind

Aylin Caliskan

CITP Fellow & Postdoctoral Researcher
Princeton University        @aylin_cim


My research involves the heavy use of machine learning, natural language processing, and computer vision in novel ways to interpret big data, develop privacy attacks with security implications, and gain insights about machines, humans, and society.

I specialize in privacy attacks, privacy enhancing technologies, ethics of machine learning, and fairness in AI.


  • I am on the academic job market.
  • I will be presenting my research on de-anonymizing programmers from executable binaries at NDSS 2018.
  • My paper on AI bias is published in Science. Semantics derived automatically from language corpora contain human-like biases.
  • I am the new mod of Computer Science - Computers and Society on arxiv.
  • My work on bias and unfairness embedded in semantic spaces, namely word embeddings, is the recipient of "Best Talk Award at HotPETS 2016".
  • Research

    My research utilizes machine learning
    as a scientific discovery, exploration, and analysis tool.

    Research Mindmap