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Ryan Zachary Friedman
Washington University
$94,207
Attributed
$94,207
Total exposure
1
Grants
1
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 $32K · FY2020–22$50K$37.5K$25K$12.5K$0
'20
'21
'22
Funding mix
By agency
NIH$94,207 · 1
By mechanism
F31$94,207 · 1
Top collaborators
No co-investigators on record.
Most similar at Washington University
Same institution · by research overlap
- Paolo Provenzano$10,825,017
- Tim B. Schedl$21,985,766
- Gautam Dantas$16,547,812
- Barak A Cohen$17,981,016
- Jonathan David Gitlin$8,492,819
Others in their field
Other Emerging Leaders on “Algorithm Design”
- Anthony Philippakis · University Of California Santa Cruz$21,193,238
- Maria C Carrillo · Indiana University Indianapolis$19,445,642
- Rene S. Kahn · Icahn School Of Medicine At Mount Sinai$16,767,001
- Leonard Freedman · Leidos Biomedical Research, Inc.$15,756,756
- Crystal Mackall · Children'S Hosp Of Philadelphia$12,433,061
- Ashkan Vaziri · Biosensics, Llc$11,049,823
Research focus
Algorithm DesignArchitectureBase SequenceBiological ModelsBiologyCell Culture TechniquesCell LineCell ModelCellsCell TypeCellular AssayCellular EngineeringComputer FrameworkData SetDesignDna SequenceEngineeringExperimental StudyFunctional GenomicsGene ExpressionGenesGenetic VariantGenomeAffect
Grant awards (3)
Interpreting function of non-coding sequences with synthetic biology and machine learning$30,783
F31 · FY2022 · HG · contact PI
Interpreting function of non-coding sequences with synthetic biology and machine learning$31,970
F31 · FY2021 · HG · contact PI
Interpreting function of non-coding sequences with synthetic biology and machine learning$31,454
F31 · FY2020 · HG · contact PI