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Gamze Gursoy
Yale University
$4,540,471
Attributed
$4,540,471
Total exposure
6
Grants
6
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 $1.9M · FY2020–25$2M$1.5M$1M$500K$0
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$4,540,471 · 6
By mechanism
R35$1,789,410 · 1
R56$855,711 · 1
R00$726,619 · 1
R01$716,224 · 1
R03$323,817 · 1
K99$128,690 · 1
Top collaborators
No co-investigators on record.
Most similar at Yale University
Same institution · by research overlap
- Lucila Ohno-Machado$130,482,087
- Xiaoqian Jiang$13,934,941
- Mark Bender Gerstein$57,665,883
- Michael P Snyder$209,065,560
- Eric S. Rosenthal$6,203,959
Others in their field
Other Emerging Leaders on “Molecular”
- Leonard Freedman · Leidos Biomedical Research, Inc.$468,573,385
- Lynn Briscoe · Leidos Biomedical Research, Inc.$137,360,557
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$109,548,439
- Leonard Freedmand · Leidos Biomedical Research, Inc.$85,594,314
- Peter W Pisters · University Of Tx Md Anderson Can Ctr$76,895,673
- Scott Hensley · University Of Pennsylvania$41,662,743
Research focus
MolecularPatient PrivacyParticipantPrivacyResearch PersonnelPrivatizationGeneticGenomicsFuturePhenotypeMiningGenotypeData SetExtravasationCryptographyData SharingAlgorithmsComputer SoftwareAdoptedData AccessBiomedical ResearchMedicalPrivacy PreservationSample Size
Grant awards (13)
Tools to Address the Challenges of Preserving Privacy in Sharing and Analysis of Biomedical Data$458,493
R35 · FY2025 · GM · contact PI
Federated learning algorithms to overcome statistical and algorithmic bias and privacy concerns in machine learning for health$358,112
R01 · FY2025 · LM · contact PI
Privacy Preservation in Transcriptomic Data Analysis$855,711
R56 · FY2024 · HG · contact PI
Tools to Address the Challenges of Preserving Privacy in Sharing and Analysis of Biomedical Data$457,381
R35 · FY2024 · GM · contact PI
Federated learning algorithms to overcome statistical and algorithmic bias and privacy concerns in machine learning for health$358,112
R01 · FY2024 · LM · contact PI
Realistic quantification of potential privacy loss from genomic summary results$237,761
R00 · FY2024 · HG · contact PI
Tools to Address the Challenges of Preserving Privacy in Sharing and Analysis of Biomedical Data$428,540
R35 · FY2023 · GM · contact PI
Delineating the functional impact of recurrent repeat expansions in ALS using integrative multiomic analysis$323,817
R03 · FY2023 · OD · contact PI
Realistic quantification of potential privacy loss from genomic summary results$239,858
R00 · FY2023 · HG · contact PI
Tools to Address the Challenges of Preserving Privacy in Sharing and Analysis of Biomedical Data$444,996
R35 · FY2022 · GM · contact PI
Realistic quantification of potential privacy loss from genomic summary results$249,000
R00 · FY2022 · HG · contact PI
Realistic quantification of potential privacy loss from genomic summary results$13,670
K99 · FY2021 · HG · contact PI
Realistic quantification of potential privacy loss from genomic summary results$115,020
K99 · FY2020 · HG · contact PI