← Leaderboards
Fahad Saeed
Florida International University
$1,975,815
Attributed
$1,975,815
Total exposure
2
Grants
2
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 $627.3K · FY2020–25$1M$750K$500K$250K$0
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$1,975,815 · 2
By mechanism
R01$1,271,166 · 1
R35$704,649 · 1
Top collaborators
No co-investigators on record.
Most similar at Florida International University
Same institution · by research overlap
- Liting Hu$2,326,507
- Ananda Mohan Mondal$370,600
- Raju Rangaswami$2,795,313
- Jian Wang$1,778,415
- Evangelos Christidis$3,498,636
Others in their field
Other Emerging Leaders on “Proteins”
- John Damon Chodera · Sloan-Kettering Inst Can Research$50,971,767
- Susan Abushakra · Alzheon, Inc.$47,265,244
- Susan M Landau · University Of California Berkeley$47,252,026
- Timothy Fouts · Advanced Bioscience Laboratories, Inc.$40,723,314
- Chris Karlovich · Leidos Biomedical Research, Inc.$38,534,220
- Mathangi Thiagarajan · Leidos Biomedical Research, Inc.$37,695,154
Research focus
ProteinsTrainingMicrobiomePeptidesReproducibilitySystems BiologyInvestigationMass Spectrum AnalysisInnovationMissionProteomicsPublic HealthCommunitiesHigh DimensionalityBig DataComputational TechniqueAlgorithmsMachine LearningAffectDesignExperimental StudyData AnalysesAlgorithmic MethodologiesUnited States National Institutes Of Health
Grant awards (7)
Machine-Learning Models for big data omics$347,973
R35 · FY2025 · GM · contact PI
Machine-Learning Models for big data omics$356,676
R35 · FY2024 · GM · contact PI
Multimodal Machine-Learning and High Performance Computing Strategies for Big MS Proteomics Data$321,471
R01 · FY2022 · GM · contact PI
Multimodal Machine-Learning and High Performance Computing Strategies for Big MS Proteomics Data$475,935
R01 · FY2021 · GM · contact PI
Compute-Cluster for Deep-Learning Models for Mass Spectrometry based Proteomics data$100,000
R01 · FY2021 · GM · contact PI
Multimodal Machine-Learning and High Performance Computing Strategies for Big MS Proteomics Data$51,322
R01 · FY2021 · GM · contact PI
Multimodal Machine-Learning and High Performance Computing Strategies for Big MS Proteomics Data$322,438
R01 · FY2020 · GM · contact PI