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We are dedicated to pushing the boundaries of artificial intelligence and data science. We specialize in developing innovative algorithms, scalable models, and ethical AI solutions that address real-world challenges across diverse industries. Through collaboration, experimentation, and rigorous analysis, we strive to advance the state of machine learning while fostering a culture of curiosity, innovation, and societal impact.
Select Publications
Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing
Kunkle, B.W., Grenier-Boley, B., Sims, R. et al. Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nat Genet 51, 414–430 (2019). https://doi.org/10.1038/s41588-019-0358-2
Subspecific origin and haplotype diversity in the laboratory mouse
Yang, H., Wang, J., Didion, J. et al. Subspecific origin and haplotype diversity in the laboratory mouse. Nat Genet 43, 648–655 (2011). https://doi.org/10.1038/ng.847
Genome assemblies of 11 bamboo species highlight diversification induced by dynamic subgenome dominance
Ma, PF., Liu, YL., Guo, C. et al. Genome assemblies of 11 bamboo species highlight diversification induced by dynamic subgenome dominance. Nat Genet (2024). https://doi.org/10.1038/s41588-024-01683-0
