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Yang Ni
Texas A&M University
$1,294,730
Attributed
$1,487,687
Total exposure
2
Grants
1
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $587.4K · FY2022–25$1M$750K$500K$250K$0
'22
'23
'24
'25
Funding mix
By agency
NIH$1,487,687 · 2
By mechanism
R01$1,487,687 · 2
Top collaborators
- Leah Helane Rubin1 shared
- Yanxun Xu1 shared
Most similar at Texas A&M University
Same institution · by research overlap
- Samiran Sinha$387,752
- Steven E Riechman$50,000
- Yang Ni$245,136
Others in their field
Other Rising Stars on “Etiology”
- Benjamin Rybicki · Henry Ford Health System$7,553,399
- Matthew Morrow Engelhard · Duke University$7,519,665
- Joseph P. Uberti · Wayne State University$5,297,337
- Heather Fiegleson · Kaiser Foundation Research Institute$4,979,276
- Carol Jean Miller · Wayne State University$4,468,701
- Armando Gil Burgos-Rodriguez · University Of Puerto Rico Med Sciences$4,306,089
Research focus
EtiologyBayesian ModelingComparative StudyPathologicSingle-Cell Rna SequencingSamplingTissuesCell TypeGene Expression RegulationFeedbackGenesCell Differentiation ProcessNetwork ModelsCellsTreatment GroupGene Regulatory NetworkMolecularPreventionDisease DiagnosisCausal VariantExperimental GroupComplexInstructionDesign
Grant awards (5)
Bayesian Differential Causal Network and Clustering Methods for Single-Cell Data$297,934
R01 · FY2025 · GM · contact PI
SCH: New Bayesian Causal Structural Discovery and Reinforcement Learning Methods for Mental health in HIV Care$289,436
R01 · FY2025 · AI
Bayesian Differential Causal Network and Clustering Methods for Single-Cell Data$297,934
R01 · FY2024 · GM · contact PI
Bayesian Differential Causal Network and Clustering Methods for Single-Cell Data$297,934
R01 · FY2023 · GM · contact PI
Bayesian Differential Causal Network and Clustering Methods for Single-Cell Data$304,449
R01 · FY2022 · GM · contact PI