← Leaderboards
Sana Syed
University Of Virginia
$6,055,414
Attributed
$6,055,414
Total exposure
4
Grants
4
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 $1.6M · FY2019–25$2M$1.5M$1M$500K$0
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$6,055,414 · 4
By mechanism
R01$4,883,537 · 2
K23$964,260 · 1
K24$207,617 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of Virginia
Same institution · by research overlap
- Yuh-Hwa Wang$7,282,721
- Arijita Jash$386,310
Others in their field
Other Emerging Leaders on “S Disease”
- Bambra Strokes · Ppd Development Lp$526,656,217
- Chanza Baytop · Westat, Inc.$271,217,917
- Beth Baseler · Leidos Biomedical Research, Inc.$249,760,384
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$220,039,059
- Kimberly Smith · Ppd Development Lp$115,671,664
- Beverly Hayes · Leidos Biomedical Research, Inc.$98,336,166
Research focus
S DiseaseBiopsyCohortChildhoodDiagnosisTissuesChronicCrohn&AposChildPathway InteractionsUniversitiesVirginiaPhysiciansSeveritiesLengthTrainingNutritionInflammationMetabolicComputing MethodologiesHistologyGenetic TranscriptionIntestinesBiological Markers
Grant awards (13)
Predicting Clinical Phenotypes in Crohn's Disease Using Machine Learning and Single-Cell 'omics$696,092
R01 · FY2025 · DK · contact PI
Population-Based Characterization of Metabolic Pathways to Predict Pediatric Crohn's Disease Outcomes$688,350
R01 · FY2025 · DK · contact PI
Mentoring in Data Science for Big Data and omics in Immunologic Diseases$207,617
K24 · FY2025 · AI · contact PI
Population-Based Characterization of Metabolic Pathways to Predict Pediatric Crohn's Disease Outcomes$685,317
R01 · FY2024 · DK · contact PI
Predicting Clinical Phenotypes in Crohn's Disease Using Machine Learning and Single-Cell 'omics$669,097
R01 · FY2024 · DK · contact PI
Population-Based Characterization of Metabolic Pathways to Predict Pediatric Crohn's Disease Outcomes$713,870
R01 · FY2023 · DK · contact PI
Predicting Clinical Phenotypes in Crohn's Disease Using Machine Learning and Single-Cell 'omics$712,353
R01 · FY2023 · DK · contact PI
Computational Characterization of Environmental Enteropathy$192,552
K23 · FY2023 · DK · contact PI
Population-Based Characterization of Metabolic Pathways to Predict Pediatric Crohn's Disease Outcomes$718,458
R01 · FY2022 · DK · contact PI
Computational Characterization of Environmental Enteropathy$192,552
K23 · FY2022 · DK · contact PI
Computational Characterization of Environmental Enteropathy$192,552
K23 · FY2021 · DK · contact PI
Computational Characterization of Environmental Enteropathy$192,552
K23 · FY2020 · DK · contact PI
Computational Characterization of Environmental Enteropathy$194,052
K23 · FY2019 · DK · contact PI