← Leaderboards
Sriram Sankararaman
Harvard Medical School
$3,621,095
Attributed
$5,158,360
Total exposure
6
Grants
4
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 $976.7K · FY2014–25$1M$750K$500K$250K$0
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$5,158,360 · 6
By mechanism
R35$2,226,966 · 2
R33$1,899,172 · 1
R00$497,996 · 1
R21$406,726 · 1
K99$127,500 · 1
Top collaborators
- Sam Emaminejad5 shared
- Carlos Milla5 shared
Most similar at Harvard Medical School
Same institution · by research overlap
- Christopher S Chen$23,331,537
- Alkes L Price$12,604,554
- Nancy L Keating$12,275,722
Others in their field
Top investigators on “Data Set”
- Lawrence Corey · Fred Hutchinson Cancer Center$424,653,591
- David R. Weir · University Of Michigan At Ann Arbor$412,781,191
- David Heimbrook · Leidos Biomedical Research, Inc.$409,886,450
- Margaret Juliana McElrath · Fred Hutchinson Cancer Center$348,905,121
- Gary D Acton · University Of California-Davis$320,373,312
- Mitchell J Malone · Texas A&M Research Foundation$320,373,312
Research focus
Data SetComplexPhenotypeGenomeRecording Of Previous EventsAnalytical ToolInsightAdmixtureStatistical MethodsStructureGeneticStatistical ModelsPositioning AttributeInheritedTechnologyPopulation GroupPatternGenomicsReference GenomeEventEuropeanEnsureModernizationAlgorithms
Grant awards (16)
An Autonomous, Non-invasive, and Bioanalytics-enabled Wearable Platform for Precision Nutrition and Personalized Medicine$641,612
R33 · FY2025 · DK
Expressive and scalable statistical models for genomic and biomedical data$335,136
R35 · FY2025 · GM · contact PI
An Autonomous, Non-invasive, and Bioanalytics-enabled Wearable Platform for Precision Nutrition and Personalized Medicine$615,948
R33 · FY2024 · DK
Expressive and scalable statistical models for genomic and biomedical data$334,935
R35 · FY2024 · GM · contact PI
An Autonomous, Non-invasive, and Bioanalytics-enabled Wearable Platform for Precision Nutrition and Personalized Medicine$641,612
R33 · FY2023 · DK
An Autonomous, Non-invasive, and Bioanalytics-enabled Wearable Platform for Precision Nutrition and Personalized Medicine$195,930
R21 · FY2022 · DK
Statistical Models for Dissecting Human Population Admixture and its Role in Evolution and Disease$332,952
R35 · FY2021 · GM · contact PI
An Autonomous, Non-invasive, and Bioanalytics-enabled Wearable Platform for Precision Nutrition and Personalized Medicine$210,796
R21 · FY2021 · DK
Statistical Models for Dissecting Human Population Admixture and its Role in Evolution and Disease$332,952
R35 · FY2020 · GM · contact PI
Statistical Models for Dissecting Human Population Admixture and its Role in Evolution and Disease$332,952
R35 · FY2019 · GM · contact PI
Statistical Models for Dissecting Human Population Admixture and its Role in Evolution and Disease$332,952
R35 · FY2018 · GM · contact PI
Statistical methods to infer structure and impact of ancient admixture$248,998
R00 · FY2017 · GM · contact PI
Statistical Models for Dissecting Human Population Admixture and its Role in Evolution and Disease$225,087
R35 · FY2017 · GM · contact PI
Statistical methods to infer structure and impact of ancient admixture$248,998
R00 · FY2016 · GM · contact PI
Statistical methods to infer structure and impact of ancient admixture$37,500
K99 · FY2015 · GM · contact PI
Statistical methods to infer structure and impact of ancient admixture$90,000
K99 · FY2014 · GM · contact PI