Schrider, Daniel R.

Supervised Machine Learning for Population Genetics: A New Paradigm

Schrider, D. R., & Kern, A. D. (2018) · Trends in Genetics

Genetic diversity and population structureGenomics and Phylogenetic Studies

Cited by 453

This population does not exist: learning the distribution of evolutionary histories with generative adversarial networks

Booker, W. W., Ray, D. D., & Schrider, D. R. (2022) · Genetics

Genetic diversity and population structureForensic and Genetic Research

Cited by 22

This population does not exist: learning the distribution of evolutionary histories with generative adversarial networks

Booker, W. W., Ray, D. D., & Schrider, D. R. (2023) · GENETICS

Genetic diversity and population structureForensic and Genetic Research

Cited by 22

On the limits and opportunities of AI reviewers: Reviewing the reviews of Nature-family papers with 45 expert scientists

Kim, S., Yoon, D., Gashteovski, K., Suk, J., Baek, J., Aggarwal, P., Wu, I., Zaverkin, V., Petkoski, S., Schrider, D. R., et al. (2026) · arXiv

Academic Writing and PublishingAcademic Publishing and Open Access

Cited by 1