Jiseon Min

The paper develops a model to predict how thermal performance curves evolve under realistic temperature timeseries and genetic factors, showing multi-generation lags and adaptive tracking in Drosophila suzukii.

This paper introduces neural posterior estimation for population genetics, showing it provides accurate and efficient posterior distributions compared to existing methods.

This study compares adaptive routes in two yeast species after 10,000 generations, finding parallel but distinct molecular mechanisms of adaptation.

The paper extends the stdpopsim simulation framework to include realistic selection models, enabling studies of selection's impact on genetic variation across species.

This paper provides a guide to implementing individual-based simulations in continuous landscapes, focusing on population dynamics and ecological applications.