← Leaderboards
Chang C Liu
University Of California-Irvine
$12,255,496
Attributed
$18,049,097
Total exposure
6
Grants
5
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 $6.3M · FY2015–25$10M$7.5M$5M$2.5M$0
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$18,049,097 · 6
By mechanism
R01$8,377,310 · 1
U19$4,054,931 · 1
DP2$2,515,359 · 1
R35$2,363,530 · 1
R21$424,875 · 1
T32$313,092 · 1
Top collaborators
- Andrew Kruse5 shared
- Debora S Marks5 shared
- Philip David Kiser2 shared
- Krzysztof Palczewski2 shared
Most similar at University Of California-Irvine
Same institution · by research overlap
- Jing Zhang$4,953,415
- Bruce Y Lee$13,790,157
- Thomas F Schilling$18,101,864
- Debora S Marks$2,792,437
- Qing Nie$14,378,202
Others in their field
Top investigators on “Evolution”
- David Divins · Consortium For Ocean Leadership, Inc$609,772,544
- Eric J Barron · Pennsylvania State Univ University Park$246,372,016
- Everette D Joseph · Howard University$243,972,016
- Valerie Koch · University Corporation For Atmospheric Res$243,972,016
- Antonio J Busalacchi · University Of Maryland, College Park$243,972,016
- David W Simpson · University Of Southern California$231,675,195
Research focus
EvolutionEngineeringYeastsIn VivoInterestGenesPharmaceutical PreparationsProteinsReagentCollectionGenerationsGeneticAntibodiesNew TechnologyAffinityAnimalsBiomedical ResearchTherapeutic ProteinDna-Directed Dna PolymeraseProtein EngineeringPlasmidsPublic Health RelevanceTechnologyEnzymes
Grant awards (21)
Visual Sciences Training Program (VSTP)$156,249
T32 · FY2025 · EY
Antibody, Epitope and Machine Learning Core$4,054,931
U19 · FY2024 · AI · contact PI
Making antibody generation rapid, scalable, and democratic through machine learning and continuous evolution$1,671,001
R01 · FY2024 · CA · contact PI
Synthetic genetic systems for rapid biomolecular evolution in vivo$442,016
R35 · FY2024 · GM · contact PI
Visual Sciences Training Program (VSTP)$156,843
T32 · FY2024 · EY
Making antibody generation rapid, scalable, and democratic through machine learning and continuous evolution$1,667,876
R01 · FY2023 · CA · contact PI
Synthetic genetic systems for rapid biomolecular evolution in vivo$442,016
R35 · FY2023 · GM · contact PI
Making antibody generation rapid, scalable, and democratic through machine learning and continuous evolution$1,682,720
R01 · FY2022 · CA · contact PI
Synthetic genetic systems for rapid biomolecular evolution in vivo$442,016
R35 · FY2022 · GM · contact PI
Diversity Supplement for "Synthetic genetic systems for rapid biomolecular evolution in vivo"$40,861
R35 · FY2022 · GM · contact PI
Synthetic genetic systems for rapid biomolecular evolution in vivo$40,861
R35 · FY2022 · GM · contact PI
Making antibody generation rapid, scalable, and democratic through machine learning and continuous evolution$1,665,161
R01 · FY2021 · CA · contact PI
Synthetic genetic systems for rapid biomolecular evolution in vivo$442,016
R35 · FY2021 · GM · contact PI
Equipment Supplement for "Synthetic genetic systems for rapid biomolecular evolution in vivo"$71,950
R35 · FY2021 · GM · contact PI
Making antibody generation rapid, scalable, and democratic through machine learning and continuous evolution$1,690,552
R01 · FY2020 · CA · contact PI
Synthetic genetic systems for rapid biomolecular evolution in vivo$441,794
R35 · FY2020 · GM · contact PI
A genetically-encoded device that counts cell cycles$193,125
R21 · FY2019 · GM · contact PI
A genetically-encoded device that counts cell cycles$231,750
R21 · FY2018 · GM · contact PI
A High-Throughput Continuous Evolution System for in vivo Biosensor Engineering$99,745
DP2 · FY2017 · GM · contact PI
Diversity Supplement for A High-Throughput Continuous Evolution System for in vivo Biosensor Engineering$98,114
DP2 · FY2016 · GM · contact PI
A High-Throughput Continuous Evolution System for in vivo Biosensor Engineering$2,317,500
DP2 · FY2015 · GM · contact PI