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Chris A. Kieslich
Auburn University At Auburn
$1,488,207
Attributed
$1,488,207
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 $372.5K · FY2022–25$500K$375K$250K$125K$0
'22
'23
'24
'25
Funding mix
By agency
NIH$1,488,207 · 1
By mechanism
R35$1,488,207 · 1
Top collaborators
No co-investigators on record.
Most similar at Auburn University At Auburn
Same institution · by research overlap
- Pengyu Chen$4,181,329
- Stewart W. Schneller$5,831,975
- Jeffrey Coleman$264,579
- Byron L Blagburn$76,451
- Katherine Michele Buckley$10,000
Others in their field
Other Rising Stars on “Immunology”
- Mari Ostendorf · University Of Washington$51,931,230
- Rhea Coler · Seattle Children'S Hospital$35,184,139
- Christina Millin · Rho Federal Systems Division, Inc.$31,828,916
- Michael Hogarth · University Of California, San Diego$14,390,863
- Cathie Snyder · Rho Federal Systems Division, Inc.$13,500,724
- Atul Butte$12,440,731
Research focus
ImmunologyAccountingAnimal ModelImmune SystemAntigensAreaBase SequenceBindingAntigen ProcessingAffectCommunicable DiseasesComputerized ToolsComputing MethodologiesCoupledData SetEmerging PathogenEpitopesGenerationsGeneticGenetic InformationCombatImmuneImmune ResponseInterest
Grant awards (4)
Development of computational tools for accounting for host variability in predicting T-cell epitopes$370,854
R35 · FY2025 · GM · contact PI
Development of computational tools for accounting for host variability in predicting T-cell epitopes$372,451
R35 · FY2024 · GM · contact PI
Development of computational tools for accounting for host variability in predicting T-cell epitopes$372,451
R35 · FY2023 · GM · contact PI
Development of computational tools for accounting for host variability in predicting T-cell epitopes$372,451
R35 · FY2022 · GM · contact PI