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Massimo Vergassola
Harvard University
$1,209,740
Attributed
$3,629,221
Total exposure
2
Grants
0
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.
Funding over time
peak $2.7M · FY2022–25$5M$3.8M$2.5M$1.3M$0
'22
'23
'24
'25
Funding mix
By agency
NIH$3,629,221 · 2
By mechanism
RF1$2,730,261 · 1
R01$898,960 · 1
Top collaborators
- Catherine G Dulac2 shared
- Venkatesh N Murthy2 shared
Most similar at Harvard University
Same institution · by research overlap
- Venkatesh N Murthy$19,068,310
- Catherine G Dulac$33,730,306
- Aravinthan D. Samuel$11,879,134
- Yun Zhang$11,546,975
- Hang Lu$12,854,794
Others in their field
Other Rising Stars on “Algorithms”
- Maximilian Haeussler · University Of California Santa Cruz$14,765,386
- Samuel W Teitelbaum · Arizona State University$13,377,213
- Benjamin M Greenberg · Ut Southwestern Medical Center$11,474,975
- Eric Anderson · Columbia University Health Sciences$11,474,975
- Jinsy Andrews · Columbia University Health Sciences$11,474,975
- Suma Babu · Massachusetts General Hospital$11,004,714
Research focus
AlgorithmsAnimalsAreaAnalytical MethodBehaviorBehavioralBilateralBrainBrain DiseasesBrain RegionCell TypeComplexCouplingCovid-19 PandemicCuesCustomDecision MakingDepositionDriving BehaviorEnvironmentEsthesiaExhibitsExperimental StudyFace
Grant awards (2)
Odor trail tracking: a new paradigm to unveil algorithms and neural circuits underlying active sensation and continuous decision making$898,960
R01 · FY2025 · NS
Odor trail tracking: a new paradigm to unveil algorithms and neural circuits underlying active sensation and continuous decision making$2,730,261
RF1 · FY2022 · NS