Sotabase

Career

· Assistant Professor, University of Texas at Austin2020–
· Research intern, Microsoft Research2018–2018
· Co-founder & CTO, Early SAS2017–2020
· Teaching Assistant, Carnegie Mellon University2016–
· Master of Science, Machine Learning, Carnegie Mellon University2014–2017
· Ph.D., Machine Learning & Public Policy, Carnegie Mellon University2014–2020
· Research intern, Haute École Spécialisée de Suisse Occidentale2014–2014
· Junior researcher, Quantil SAS2013–2014
· Investigative journalist, Connectas2012–2012
· Instructor, Colombian Mathematical Olympiad (OCM)2010–2010
· Journalist, Publicaciones Semana - Especiales Regionales2010–2011
· Assistant Professor, University of Texas

Publications (17)

Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
FAT · 2019
531
cited
A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores
International Conference on Human Factors in Computing Systems · 2020
198
cited
What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes
North American Chapter of the Association for Computational Linguistics · 2019
82
cited
Machine Learning for the Developing World
ACM Transactions on Management Information Systems · 2018
73
cited
The effect of differential victim crime reporting on predictive policing systems
Conference on Fairness, Accountability and Transparency · 2021
42
cited
Learning under selective labels in the presence of expert consistency
arXiv.org · 2018
41
cited
Leveraging Expert Consistency to Improve Algorithmic Decision Support
Management Sciences · 2021
22
cited
A Case for Humans-in-the-Loop: Decisions in the Presence of Misestimated Algorithmic Scores
Social Science Research Network · 2022
12
cited
Discovery of Complex Anomalous Patterns of Sexual Violence in El Salvador
2017
7
cited
Doubting AI Predictions: Influence-Driven Second Opinion Recommendation
arXiv.org · 2022
4
cited
Killings of social leaders in the Colombian post-conflict: Data analysis for investigative journalism
arXiv.org · 2019
4
cited
Lass-0: sparse non-convex regression by local search
2015
2
cited
Proceedings of NIPS 2017 Workshop on Machine Learning for the Developing World
2017
2
cited
Canonical Autocorrelation Analysis
arXiv.org · 2015
1
cited
Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact
arXiv.org · 2018
1
cited
On The Effectiveness of Gender Debiasing Methods in Removing Gender Information From Model Representations
2022
Proceedings of NeurIPS 2019 Workshop on Machine Learning for the Developing World: Challenges and Risks of ML4D
arXiv.org · 2020
Sotabase
Maria De Arteaga | Researcher Profile | Sotabase | Sotabase