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Renee Gil

Research Interests

I am broadly interested in applying mathematics to difficult real-world problems. My work spans scientific computing, optimization, operations research, and machine learning — currently focused on privacy risk quantification for sensitive data, with prior work in drug discovery, energy market modelling, and production scheduling.

Current Work

I am currently developing algorithms for privacy risk assessment of de-identified, anonymized, and synthetic data. The work involves quantifying re-identification and inference risks against recognized privacy standards, with an emphasis on implementations that are efficient enough for production use.

Publications

Teaching