Ph.Darya Shramko
alessandro.fabris at mpi-sp.org
fabrisal at dei.unipd.it
Max Planck Institute for Security and Privacy (MPI-SP)
Bochum, Germany
I am a research fellow at Max Planck Institute for Security and Privacy working in the Responsible Computing Group led by Asia Biega, supported by the Alexander von Humboldt Foundation and the FINDHR project on fairness and non-discrimination in algorithmic hiring.
I study algorithmic fairness and auditing in information access systems. My research centers on defining, operationalizing, and measuring fairness, with a focus on domain-specific requirements, and a critical perspective on data management and ethics.
Previously, I spent four years in industry working with IBM and Electrolux. To develop relevant solutions for pressing socio-technical issues, I aim to guide and translate policy into responsible computing practices that can be understood and adopted by practitioners.
The 3rd European Workshop on Algorithmic Fairness took place in Mainz, Germany, on July 1-3, 2024. See you next year at EWAF'25!
I have been granted a Humboldt Research Fellowship to study algorithmic fairness with limited data.
My Ph.D. thesis received the Elena Cornaro Award for gender studies.
We advised five AI providers on compliance at the EU AI Act Grand Challenge.
Our research on discrimination in car insurance was featured on national TV (Rai3) and international press (AlgorithmWatch).
The 2nd European Workshop on Algorithmic Fairness took place in June 2023 and I was a Program Chair. We had a really exciting program (if I may say so myself)!
Our book on quantification is out. Have a look if you're interested in estimators for groups rather than individuals.
I successfully defended my Ph.D. I am now a postdoctoral researcher at Max Planck Institute for Security and Privacy.
I received the IP&M Best Ph.D. Paper Award.
National TV: Report Rai3.
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