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Likai Chen's research interests include statistical learning for time series; high-dimensional testing and inference; structured high-dimensional models; temporal and cross-sectional dependence; non-linear processes; changepoint detection; and robust statistics. She earned her doctorate from the University of Chicago in statistics.