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Xiao Tan
Massachusetts General Hospital
$508,680
Attributed
$508,680
Total exposure
1
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. They are the sole PI on all grants (the two match).
Funding over time
peak $169.6K · FY2023–25$200K$150K$100K$50K$0
'23
'24
'25
Funding mix
By agency
NIH$508,680 · 1
By mechanism
K08$508,680 · 1
Top collaborators
No co-investigators on record.
Most similar at Massachusetts General Hospital
Same institution · by research overlap
- James Versalovic$13,934,890
- Douglas Kwon$11,694,140
- Shiqian Shen$9,623,224
- Scott A. Handley$3,542,649
- Andrea Goldberg Edlow$11,000,739
Others in their field
Other Rising Stars on “Computational Pipelines”
- Michael Hogarth · University Of California, San Diego$9,300,393
- Goncalo Albecasis · University Of Michigan At Ann Arbor$4,438,562
- Benjamin Hitz · Stanford University$4,053,664
- Torben Schiffner · Vanderbilt University$3,781,986
- Laura Michelle Heath · Sage Bionetworks$3,346,961
- Susheel Varma · Sage Bionetworks$3,346,961
Research focus
Computational PipelinesAmericanAlgorithmsAffectAutomated AnnotationBacterial ProteinsBindingBiochemicalBiologicalBiological ProcessBiomedical ResearchCarbohydratesCareer DevelopmentCatalogsCellsCell SurfaceCharacteristicsChronicChronic DiseaseClassificationCollectionComplexComplex DataComputing Methodologies
Grant awards (3)
Machine learning-based methods for the analysis of microbial glycomes and proteomes in inflammatory bowel disease.$169,560
K08 · FY2025 · DK · contact PI
Machine learning-based methods for the analysis of microbial glycomes and proteomes in inflammatory bowel disease.$169,560
K08 · FY2024 · DK · contact PI
Machine learning-based methods for the analysis of microbial glycomes and proteomes in inflammatory bowel disease.$169,560
K08 · FY2023 · DK · contact PI