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Maya Liv Petersen
University Of California, San Francisco
$11,329,041
Attributed
$30,695,534
Total exposure
5
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 $5.8M · FY2014–25$10M$7.5M$5M$2.5M$0
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$30,695,534 · 5
By mechanism
U01$23,378,134 · 1
R01$5,922,223 · 2
T32$734,223 · 1
R34$660,954 · 1
Top collaborators
- Elvin H. Geng8 shared
- Diane V Havlir5 shared
- Moses Robert Kamya5 shared
- Mark J Vanderlaan5 shared
- David James Harding3 shared
- Heather Haveman2 shared
- Craig R Cohen1 shared
- David Mongeau1 shared
Most similar at University Of California, San Francisco
Same institution · by research overlap
- Adam Wayne Carrico$20,345,043
- Diane V Havlir$125,216,731
- Aimee Kao$26,280,041
- Janet M Turan$11,052,610
- Michael Andrew Fischbach$20,742,968
Others in their field
Top investigators on “Africa”
- Wafaa M. El-Sadr · Columbia University Health Sciences$372,070,023
- Myron S Cohen · Family Health International$371,035,172
- Margaret Juliana McElrath · Fred Hutchinson Cancer Center$169,486,689
- Carol Nesel · Westat$157,229,158
- Constance Ann Benson · University Of California, San Diego$156,911,346
- Sten H Vermund · University Of Alabama At Birmingham$130,129,209
Research focus
AfricaRandomized TrialRandomizedDesignCommunitiesPreventionServicesClinicPublic HealthStandard Of CareViralSubgroupResponseUnited States National Institutes Of HealthKenyaFaceFundingAdultInnovationMortalityCostEvaluationEconomicsPolicy Maker
Grant awards (22)
A Multisectoral Strategy to Address Persistent Drivers of the HIV Epidemic in East Africa$4,683,868
U01 · FY2025 · AI
A Multisectoral Strategy to Address Persistent Drivers of the HIV Epidemic in East Africa$4,681,367
U01 · FY2024 · AI
Targeted Learning using adaptive designs for HIV Epidemic control in East Africa$566,553
R01 · FY2023 · AI
Efficient Refactoring of Longitudinal Targeted Machine Learning$223,272
R01 · FY2023 · AI
A Multisectoral Strategy to Address Persistent Drivers of the HIV Epidemic in East Africa$4,681,869
U01 · FY2022 · AI
Targeted Learning using adaptive designs for HIV Epidemic control in East Africa$566,402
R01 · FY2022 · AI
Computational Social Science Training Program$249,381
T32 · FY2022 · HD
A Multisectoral Strategy to Address Persistent Drivers of the HIV Epidemic in East Africa$4,804,723
U01 · FY2021 · AI
Targeted Learning using adaptive designs for HIV Epidemic control in East Africa$566,402
R01 · FY2021 · AI
Computational Social Science Training Program$233,014
T32 · FY2021 · HD
An Adaptive Strategy for Preventing and Treating Lapses of Retention in Adult HIV Care II (ADAPT-R II)$215,975
R34 · FY2021 · MH
A Multisectoral Strategy to Address Persistent Drivers of the HIV Epidemic in East Africa$4,526,307
U01 · FY2020 · AI
Targeted Learning using adaptive designs for HIV Epidemic control in East Africa$613,304
R01 · FY2020 · AI
Computational Social Science Training Program$251,828
T32 · FY2020 · HD
An Adaptive Strategy for Preventing and Treating Lapses of Retention in Adult HIV Care II (ADAPT-R II)$251,025
R34 · FY2020 · MH
An Adaptive Strategy for Preventing and Treating Lapses of Retention in Adult HIV Care II (ADAPT-R II)$193,954
R34 · FY2019 · MH
Adaptive Strategies for Preventing & Treating Lapses of Retention in Care (AdaPT)$671,443
R01 · FY2018 · MH
Adaptive Strategies for Preventing & Treating Lapses of Retention in Care (AdaPT)$675,235
R01 · FY2017 · MH
Adaptive Strategies for Preventing & Treating Lapses of Retention in Care (AdaPT)$689,169
R01 · FY2016 · MH
Adaptive Strategies for Preventing & Treating Lapses of Retention in Care (AdaPT)$598,858
R01 · FY2015 · MH
Adaptive Strategies for Preventing and Treating Lapses of Retention in Care (AdaPT)$116,584
R01 · FY2015 · MH
Adaptive Strategies for Preventing & Treating Lapses of Retention in Care (AdaPT)$635,001
R01 · FY2014 · MH