
Fang Han
· ProfessorUniversity of Washington · Economics
Active 2011–2025
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
Research topics
- Computer Science
- Artificial Intelligence
- Biology
- Applied mathematics
- Neuroscience
- Psychology
- Statistics
- Mathematics
- Developmental psychology
- Combinatorics
Selected publications
Shell microelectrode arrays (MEAs) for brain organoids
Science Advances · 2022 · 179 citations
Brain organoids are important models for mimicking some three-dimensional (3D) cytoarchitectural and functional aspects of the brain. Multielectrode arrays (MEAs) that enable recording and stimulation of activity from electrogenic cells offer notable potential for interrogating brain organoids. However, conventional MEAs, initially designed for monolayer cultures, offer limited recording contact area restricted to the bottom of the 3D organoids. Inspired by the shape of electroencephalography ca…
Distribution-Free Consistent Independence Tests via Center-Outward Ranks and Signs
Journal of the American Statistical Association · 2020 · 69 citations
Senior authorCorrespondingThis article investigates the problem of testing independence of two random vectors of general dimensions. For this, we give for the first time a distribution-free consistent test. Our approach combines distance covariance with the center-outward ranks and signs developed by Marc Hallin and collaborators. In technical terms, the proposed test is consistent and distribution-free in the family of multivariate distributions with nonvanishing (Lebesgue) probability densities. Exploiting the (degener…
IDEAS: individual level differential expression analysis for single-cell RNA-seq data
Genome biology · 2022 · 54 citations
We consider an increasingly popular study design where single-cell RNA-seq data are collected from multiple individuals and the question of interest is to find genes that are differentially expressed between two groups of individuals. Towards this end, we propose a statistical method named IDEAS (individual level differential expression analysis for scRNA-seq). For each gene, IDEAS summarizes its expression in each individual by a distribution and then assesses whether these individual-specific…
First Organoid Intelligence (OI) workshop to form an OI community
Frontiers in Artificial Intelligence · 2023 · 52 citations
The brain is arguably the most powerful computation system known. It is extremely efficient in processing large amounts of information and can discern signals from noise, adapt, and filter faulty information all while running on only 20 watts of power. The human brain's processing efficiency, progressive learning, and plasticity are unmatched by any computer system. Recent advances in stem cell technology have elevated the field of cell culture to higher levels of complexity, such as the develop…
On universally consistent and fully distribution-free rank tests of vector independence
The Annals of Statistics · 2022-08-01 · 35 citations
articleOpen accessSenior authorRank correlations have found many innovative applications in the last decade. In particular, suitable rank correlations have been used for consistent tests of independence between pairs of random variables. Using ranks is especially appealing for continuous data as tests become distribution-free. However, the traditional concept of ranks relies on ordering data and is, thus, tied to univariate observations. As a result, it has long remained unclear how one may construct distribution-free yet con…
Recent grants
Statistical Methods for Analyzing Complex Structured and Count Data
NSF · $200k · 2022–2026
Rank-based Inference for Complex and Noisy High-dimensional Data
NSF · $290k · 2020–2024
An Integrated Toolkit for High-Dimensional Complex and Time Series Data Analysis
NSF · $160k · 2017–2020
Frequent coauthors
- 53 shared
Han Liu
- 49 shared
Wei Sun
- 40 shared
John Lafferty
Yale University
- 40 shared
Ming Yuan
Peking University Shenzhen Hospital
- 39 shared
Larry Wasserman
Carnegie Mellon University
- 15 shared
Zhen Miao
Microsoft (United States)
- 15 shared
Mathias Drton
- 14 shared
Hongjian Shi
Technical University of Munich
Education
- 2008
Ph.D., Economics
University of Washington
- 2003
M.A., Economics
University of California, Los Angeles
- 2001
B.A., Economics
University of California, Los Angeles
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