← Leaderboards
Connor Wilson Coley
Massachusetts Institute Of Technology
$1,856,119
Attributed
$2,220,575
Total exposure
4
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.
Funding over time
peak $1M · FY2021–23$2M$1.5M$1M$500K$0
'21
'22
'23
Funding mix
By agency
NIH$2,220,575 · 4
By mechanism
U18$1,137,523 · 1
R21$865,899 · 2
UG3$217,153 · 1
Top collaborators
- Joel Stephen Freundlich2 shared
- Gaurav Chopra1 shared
- Lee Cronin1 shared
Most similar at Massachusetts Institute Of Technology
Same institution · by research overlap
- Robert S Langer$47,407,448
- Matthew J Lazzara$5,608,363
- Daniel John Siegwart$5,179,626
- Frank B Gertler$12,711,786
- Mehrdad Jazayeri$8,716,045
Others in their field
Other Emerging Leaders on “Design”
- Sonia M Thomas · Research Triangle Institute$700,865,642
- Tracy L Nolen · Research Triangle Institute$474,487,152
- John E West · University Of Texas At Austin$113,883,001
- Peter K Fritschel · California Institute Of Technology$78,820,000
- Kevin Urdahl · Seattle Children'S Hospital$72,239,698
- Marlene Ann Cooper · Harvard University D/B/A Harvard School Of Public Health$71,439,892
Research focus
DesignCostEvaluationComplexAlgorithmsPerformancePropertyTrainingMachine LearningExperimental StudyReactionLearningIn SilicoPharmaceutical ChemistryInterestNovel TherapeuticsPharmacologic SubstanceDrug DiscoveryLibrariesIn VivoBaseDrug CandidateLead OptimizationCheminformatics
Grant awards (7)
Informatics and Machine Learning Modules for Research Planning, Scheduling, Simulation, and Optimization in the ASPIRE Autonomous Laboratory$575,034
U18 · FY2023 · TR · contact PI
Synthesizability-constrained expansion and multi-objective evolution of antitubercular compounds$242,025
R21 · FY2023 · AI
Discovery & Synthesis Chemputer: An intelligent universal system for automated chemical synthesis and discovery across different hardware and scales$217,153
UG3 · FY2023 · TR
Informatics and Machine Learning Modules for Research Planning, Scheduling, Simulation, and Optimization in the ASPIRE Autonomous Laboratory$562,489
U18 · FY2022 · TR · contact PI
Accelerated discovery of synthetic polymers for ribonucleoprotein delivery through the integration of active learning, machine learning, and polymer science$228,903
R21 · FY2022 · GM · contact PI
Synthesizability-constrained expansion and multi-objective evolution of antitubercular compounds$197,349
R21 · FY2022 · AI
Accelerated discovery of synthetic polymers for ribonucleoprotein delivery through the integration of active learning, machine learning, and polymer science$197,622
R21 · FY2021 · GM · contact PI