معرفی
April Wei is an Assistant Professor in the Department of Computational Biology at Cornell University, where she leads the Wei Lab in Computational Genetics. Her research focuses on developing scalable computational methods to analyze massive genomic datasets, addressing fundamental questions in evolutionary processes and human genetics.
- B.Sc. in Biology, Fudan University (2013)
- Ph.D. in Computational Biology, University of Michigan (2018)
- Postdoctoral Research at UC Berkeley and UCLA
- Joined Cornell in January 2022
The Wei Lab explores diverse areas such as population genetics, computational genetics, and natural selection, with applications in human evolution, gene conversion, and complex traits. Their work leverages graph-based data structures and deep learning to improve genomic analysis scalability.
April's research trajectory, as reflected in her publications, emphasizes genomic data compression, selective sweep detection, and ancestral recombination graph (ARG) analysis. Her lab's outputs span algorithm development for biobank-scale data, evolutionary modeling of overlapping genes, and statistical frameworks for gene conversion landscapes.
April mentors a team of Ph.D. students and postdoctoral researchers, including current advisees Ziqing Pan, Meera Chotai, Jinmin Li, Aditya Girish, and Lin Yuan, with notable alumni such as Siddharth Avadhanam (2023). The lab is supported by NIH and NSF grants.
Lab culture prioritizes collaboration, inclusivity, and scientific curiosity, with social activities like lab barbecues, game nights, and group hikes. April is also a passionate fan of Star Wars and water sports.
