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Siavash Mir Arabbaygi
University Of California, San Diego
$1,889,209
Attributed
$1,889,209
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 $510.5K · FY2021–25$1M$750K$500K$250K$0
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$1,889,209 · 1
By mechanism
R35$1,889,209 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of California, San Diego
Same institution · by research overlap
- Mark H Ellisman$83,284,775
- Amitava Majumdar$4,074,673
- Arnaud Delorme$5,010,806
- Melissa Gymrek$12,234,686
- Robin Knight$23,265,798
Others in their field
Other Emerging Leaders on “Organism”
- Sonia M Thomas · Research Triangle Institute$700,865,642
- Tracy L Nolen · Research Triangle Institute$474,487,152
- Chanza Baytop · Westat, Inc.$271,217,917
- Valerie Koch · University Corporation For Atmospheric Res$243,972,016
- Douglas S. Hawkins · Children'S Hosp Of Philadelphia$157,315,120
- Paul F Gallagher · Woods Hole Oceanographic Institution$92,619,872
Research focus
OrganismMultiple Data SourcesMicrobiome AnalysisMicrobiomeLaboratoriesModernizationAlgorithmsMachine LearningMachine Learning MethodMeasurableAreaComputing MethodologiesData SetBiologyDesignEnvironmentAdoptedInterestGenome-WideAwarenessCharacteristicsGenotypeBiologicalPhenotype
Grant awards (7)
Biology-aware machine learning methods for characterizing microbiome genotype and phenotype$344,669
R35 · FY2025 · GM · contact PI
Biology-aware machine learning methods for characterizing microbiome genotype and phenotype$344,669
R35 · FY2024 · GM · contact PI
Biology-aware machine learning methods for characterizing microbiome genotype and phenotype$344,669
R35 · FY2023 · GM · contact PI
Biology-aware machine learning methods for characterizing microbiome genotype and phenotype$151,047
R35 · FY2023 · GM · contact PI
Biology-aware machine learning methods for characterizing microbiome genotype and phenotype$14,817
R35 · FY2023 · GM · contact PI
Biology-aware machine learning methods for characterizing microbiome genotype and phenotype$344,669
R35 · FY2022 · GM · contact PI
Biology-aware machine learning methods for characterizing microbiome genotype and phenotype$344,669
R35 · FY2021 · GM · contact PI