I am a PhD student at the University of Saarland (UdS). As an ELLIS student, I have conducted a research stay at Amsterdam Machine Learning Lab of Max Welling working with Patrick Forré, and interned at IBM Research Africa in Nairobi, Kenya. I received the 2023 Google Fellowship in Machine Learning.

In my research, I focus on creating algorithms for fair decision-making under realistic assumptions, especially studying the discriminatory effect of feedback loops. I am particularly interested in the intersection of causality and fairness. Take a look at my research and teaching. In addition, I am part-time enrolled in law studies and look for opportunities to work at the intersection of trustworthy ML and law.

I studied B.Sc. and M.Sc. in Industrial Engineering and Management of Karlsruhe Institute of Technology, Germany. 

June 2024 | Our paper "Robustness in the EU Artificial Intelligence Act" got accepted at the ICML24 GenLaw workshop!

June 2024 | I am attending FAccT24 in Rio to present our paper "Designing Long-term Group Fair Policies"! Very excited!

May 2024 | I attended the International PhD Summer School on AI & law in Tübingen.

May 2024 | I gave a lecture on "Fairness in Machine Learning" at the University of Stuttgart upon the invitation of Prof.  Katharina Hölzle. 

May 2024 | Our paper "Algorithmic Fairness Over Time: Advances & Prospects" got accepted at EWAF'24.

May 2024 | I joined the Chair for Law and Artificial Intelligence from Michèle Finck for a research visit. Very excited to work at the intersection of AI & law.

December 2023 | I enjoyed NeurIPS 2023, co-organizing the Algorithmic Fairness Workshop and presenting my work in 3 workshops (WiML, SoLaR, AFT). | Tweet

November 2023 | Our paper "Designing Long-term Group Fair Policies in Dynamical Systems" got accepted at the Algorithmic Fairness Through the Lens of Time (AFT) Workshop at NeurIPS 2023. 

October 2023 | Hosted and co-organized a workshop on interpretability and algorithmic recourse at UdS with wonderful speakers and attendees. | Tweet

October 2023 | My abstract "Exploring Unregulated Discrimination: Algorithmically Created Disadvantaged Groups" got accepted at the Women in Machine Learning (WiML) Workshop at NeurIPS 2023.

October 2023 | Our paper "Weakly Supervised Detection of Hallucinations in LLM Activations" got accepted at the Socially Responsible Language Modelling Research (SoLaR) Workshop at NeurIPS 2023.

July 2023 | Our NeurIPS workshop proposal on Algorithmic Fairness Through the Lens of Time on long-term fairness and generative AI got accepted. | News on our Website and X

July 2023 | Started a three-month internship at IBM Research Africa in Nairobi, Kenya

April 2023 |6-week research stay at the University of Amsterdam, AMLab, working with Patrick Forré

November 2022 | Gave a talk at Nairobi University machine learning master class (virtual)

Oktober 2022 | Gave a talk at Zalando Research, Berlin, Germany

Oktober 2022 | Gave a talk at the University of Nairobi, Strathmore University, IBM Research in Nairobi and Microsoft Africa Research Institute (MARI), Kenya

Oktober 2022 | Co-instructor at TReND-BioRTC Clinical Science Symposium at Yobe State University, Damaturu, Nigeria. Teaching healthcare professionals in data analytics. | Twitter: #ClinicalCSS2022

September 2022 | Gave a talk at Google Research in London (in person).

August 2022 | Our NeurIPS workshop proposal on Algorithmic Fairness Through the Lens of Causality and Privacy (AFCP) was accepted. Joint organization with: Awa Dieng, Golnoosh Farnadi, and Ferdinando Fioretto. Advisors: Matt Kusner, Jessica Shrouff | Website | Twitter

July 2022 | Joined a panel by the Baden-Württemberg state authority of data privacy to talk about discrimination through algorithms  

July 2022 | 6-month research stay at the University of Amsterdam, AMLab, working with Patrick Forré

June 2022 | Together with my amazing co-first-author Ayan Majumdar, I attended FAccT22 presenting our latest paper "Don't Throw It Away! The Utility of Unlabeled Data for Fair Decision Making"

May 2022 | I got accepted at the excellence program for female researchers at Saarland University, which supports excellent young female scientists at Saarland University. 

April 2022 | Published a Medium Blogpost on Optimal Transport Problems, Joint work with and amazing drawing by Diego Baptista Theuerkauf.

March 2022 | Gave a tutorial at FTAlive conference on causality in machine learning and research | Website (German)

December 2021 | NeurIPS workshop on Algorithmic Fairness Through the Lens of Causality and Robustness (AFCR) | Proceedings | Joint organization with: Awa Dieng, Jessica Schrouff, Golnoosh Farnadi, Kweku Kwegyir-Aggerey.  | Website | Twitter

October 2021 | Joined a panel on fairness and discrimination in machine learning at the University of Passau | Website

July 2021 |ELLIS workshop on Exploring fairness, explainability, robustness, privacy and security, and accountability in ML through a causal lens. | Joint organization with Amir-Hossein Karimi | ELLIS | Website | YouTube

March 2021 | Gave a tutorial at FTAlive conference on fair machine learning |  Website (German)

July 2020 | Started my PhD under the supervision of Isabel Valera at Max-Planck Institute for Intelligent Systems, Tübingen, and the ML group at Saarland University  

January 2020 | Field Research at Mpala & Great Grevy's Rally with the MPI-IS Optics & Sensing Laboratory (Senya Polikovsky).

© Portrait photo: Pablo Sánchez-Martín.
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