Carola Doerr, formerly Winzen, is a CNRS research director in the Computer Science department LIP6 of Sorbonne Université in Paris, France. Carola's main research activities are in the analysis of black-box optimization algorithms, both by mathematical and by empirical means. Specifically, she is very interested in controlling the choice and the configuration of black-box optimization algorithms all along the optimization process -- with and without Machine Learning techniques. She is equally interested in complexity results, running time bounds, good benchmarking practices, empirical evaluations, and practical applications of self-adjusting black-box optimization algorithms. Carola is associate editor of IEEE Transactions on Evolutionary Computation, ACM Transactions on Evolutionary Learning and Optimization (TELO) and Evolutionary Computation. She is/was program chair for the BBSR track at GECCO 2024, the GECH track at GECCO 2023, for PPSN 2020, FOGA 2019 and for the theory tracks of GECCO 2015 and 2017. She has organized Dagstuhl seminars and Lorentz Center workshops. Together with Pascal Kerschke, Carola leads the 'Algorithm selection and configuration' working group of COST action CA22137. Carola's works have received several awards, among them the CNRS bronze medal, the Otto Hahn Medal of the Max Planck Society, best paper awards at GECCO, CEC, and EvoApplications.

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