Jian Hu
- Department of Human Genetics
Assistant Professor
-
615 Michael Street
Suite 323
Atlanta, GA 30322
Overview
Jian Hu, PhD, is an Assistant Professor at the Department of Human Genetics at Emory University. He is also a member of Emorys AI Humanity initiative. His research program involves two synergistic components: 1) a methodological component focuses on developing novel statistical methods for biomedical data, including single-cell RNA sequencing, spatial transcriptomics, protein omics, and metabolomics; 2) an applied component focuses on applying these methods for the clinical and biological studies. Specifically, he takes a multidisciplinary approach that integrates methods drawn from statistics, machine learning, bioinformatics, and computational biology for multi-omics data analysis. Hu has also extended his expertise to digital pathology as the cell morphology from histology image data is critical in understanding the tissue microenvironment. Hu works closely with biomedical researchers in order to elucidate the structure and function of genomes and to translate genetics and genomics knowledge into human health. Hu holds a PhD in Biostatistics from the University of Pennsylvania, and a Bachelor of Molecular Biology from Wuhan University, China.
AI in Genomics Lab: https://jianhu-lab.org/
Academic Appointment
- Assistant Professor, Biostatistics and Bioinformatics, School of Public Health, Emory University
- Assistant Professor, Human Genetics, School of Medicine, Emory University
Education
Degrees
- PhD in Biostatistics from University of Pennsylvania
- Bachelor of Science in Molecular Biology and Math Minor from Wuhan University
Research
Publications
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Integrating spatial transcriptomics and snRNA-seq data enhances differential gene expression analysis results of AD-related phenotypes.
HGG Adv Page(s): 100447
05/05/2025 Authors: Tang S; Liu S; Buchman AS; Bennett DA; De Jager PL; Yang J; Hu J -
Author Correction: Resolving tissue complexity by multimodal spatial omics modeling with MISO.
Nat Methods Volume: 22 Page(s): 874
04/01/2025 Authors: Coleman K; Schroeder A; Loth M; Zhang D; Park JH; Sung J-Y; Blank N; Cowan AJ; Qian X; Chen J -
Author Correction: Resolving tissue complexity by multimodal spatial omics modeling with MISO.
Nat Methods Volume: 22 Page(s): 635
03/01/2025 Authors: Coleman K; Schroeder A; Loth M; Zhang D; Park JH; Sung J-Y; Blank N; Cowan AJ; Qian X; Chen J -
Resolving tissue complexity by multimodal spatial omics modeling with MISO.
Nat Methods Volume: 22 Page(s): 530 - 538
03/01/2025 Authors: Coleman K; Schroeder A; Loth M; Zhang D; Park JH; Sung J-Y; Blank N; Cowan AJ; Qian X; Chen J -
Identification of pathological pathways centered on circRNA dysregulation in association with irreversible progression of Alzheimer's disease.
Genome Med Volume: 16 Page(s): 129
11/11/2024 Authors: Wang F; Li Y; Shen H; Martinez-Feduchi P; Ji X; Teng P; Krishnakumar S; Hu J; Chen L; Feng Y -
Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology.
Nat Biotechnol Volume: 42 Page(s): 1372 - 1377
09/01/2024 Authors: Zhang D; Schroeder A; Yan H; Yang H; Hu J; Lee MYY; Cho KS; Susztak K; Xu GX; Feldman MD -
METI: deep profiling of tumor ecosystems by integrating cell morphology and spatial transcriptomics.
Nat Commun Volume: 15 Page(s): 7312
08/25/2024 Authors: Jiang J; Liu Y; Qin J; Chen J; Wu J; Pizzi MP; Lazcano R; Yamashita K; Xu Z; Pei G -
Longitudinal Plasma Metabolome Patterns and Relation to Kidney Function and Proteinuria in Pediatric CKD.
Clin J Am Soc Nephrol Volume: 19 Page(s): 837 - 850
07/01/2024 Authors: Lee AM; Xu Y; Hu J; Xiao R; Hooper SR; Hartung EA; Coresh J; Rhee EP; Vasan RS; Kimmel PL -
Circulating Metabolomic Associations with Neurocognitive Outcomes in Pediatric CKD.
Clin J Am Soc Nephrol Volume: 19 Page(s): 13 - 25
01/01/2024 Authors: Lee AM; Xu Y; Hooper SR; Abraham AG; Hu J; Xiao R; Matheson MB; Brunson C; Rhee EP; Coresh J -
Leveraging spatial transcriptomics data to recover cell locations in single-cell RNA-seq with CeLEry.
Nat Commun Volume: 14 Page(s): 4050
07/08/2023 Authors: Zhang Q; Jiang S; Schroeder A; Hu J; Li K; Zhang B; Dai D; Lee EB; Xiao R; Li M