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Dandi Qiao is currently a Lead Data Scientist at NuvoAir since 2021. Prior to this, they were an Assistant Professor of Medicine at Brigham and Women's Hospital and Harvard Medical School from 2015-2021. During this time, they applied statistical modeling and hierarchical clustering to identify genetic factors associated with lung CT imaging features on cloud-based platform, developed workflows using WDL and docker, pre-processed multi-consortium clinical data, assessed data quality and modeling diagnostics, applied logistic regression and meta-analysis to identify the relationship between COPD and a biomarker, developed a novel statistical algorithm to identify disease-causing genes using correlated samples, published an R package and Python pipeline (GESE), analyzed multi-cohort whole-exome sequencing data using GESE, statistical modeling and network methods with bootstrapping for severe COPD, analyzed functional data (MPRA) to identify functional variants and developed a non-parametric adaptive test to analyze such data, and organized weekly scientific seminar and book club. Before this, they were a Research Fellow at Brigham and Women's Hospital from 2013-2015 and a Postdoctoral Fellow at Harvard School of Public Health from 2013-2015. Dandi was also a Research Assistant at the University of Waterloo from 2006-2013, where they implemented an R package of the Parallel Genetic Algorithm for variable selection and an algorithm that computes dynamical correlation estimates and confidence intervals for pairs of longitudinal responses.

Dandi Qiao received a Bachelor of Mathematics from the University of Waterloo in 2008, majoring in Computer Science and Statistics. Dandi then went on to receive a Doctor of Philosophy (Ph.D.) from Harvard T.H. Chan School of Public Health in 2013, specializing in Biostatistics and Statistical Genetics.