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Elisa Celis is an Assistant Professor in the Department of Statistics and Data Science at Yale University. Her research is situated at the intersection of statistics, data science, and ethical considerations in data usage. She focuses on developing methods that ensure ethical decision-making in statistical practices, particularly in data-driven environments. Her work encompasses various applications that aim to enhance the reliability and interpretability of statistical models while aligning them with ethical frameworks. Prof. Celis is dedicated to educating the next generation of data scientists, emphasizing the importance of ethical considerations in statistical analysis and data interpretation. Additionally, she actively engages in discussions around data ethics in academia and industry, striving to bridge the gap between theory and practice. Celis is committed to advancing knowledge in her field and inspiring others to prioritize ethical practices in data science.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.