← Leaderboards
Noam Auslander
Wistar Institute
$1,585,243
Attributed
$1,585,243
Total exposure
2
Grants
2
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 $425.5K · FY2021–25$500K$375K$250K$125K$0
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$1,585,243 · 2
By mechanism
R01$838,243 · 1
R00$747,000 · 1
Top collaborators
No co-investigators on record.
Most similar at Wistar Institute
Same institution · by research overlap
- Chengyu Liang$16,417,485
- Dario C. Altieri$49,807,901
- Giorgio Trinchieri$940,960
- Harold C. Riethman$7,885,010
- Phyllis A Gimotty$8,134,528
Others in their field
Other Emerging Leaders on “Cancer Type”
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$57,434,139
- Mathangi Thiagarajan · Leidos Biomedical Research, Inc.$37,695,154
- Karen Martier · Westat, Inc.$35,207,008
- Greg Yothers · University Of Chicago$35,003,821
- Dwayne Forquer · Leidos Biomedical Research, Inc.$29,410,041
- Phd, Stephen Schwartz · Fred Hutchinson Cancer Research Center$21,360,715
Research focus
Cancer TypeResponseResearch PersonnelDeep LearningInnovationMachine LearningMalignant NeoplasmsCareerAwardDevelopment PlansBiotechnologyCancer ModelData ReportingComputerized ToolsData ScienceClassificationChromosome AbnormalityBiologyClinical Decision-MakingAnticancer ResearchCollaborationsComputer StudiesComparative GenomicsCharacteristics
Grant awards (5)
Computational methods for discovery of disease-modulating microbial genes$412,712
R01 · FY2025 · LM · contact PI
Computational methods for discovery of disease-modulating microbial genes$425,531
R01 · FY2024 · LM · contact PI
Modeling cancer evolution for prediction with neural networks: methods and applications$249,000
R00 · FY2023 · CA · contact PI
Modeling cancer evolution for prediction with neural networks: methods and applications$249,000
R00 · FY2022 · CA · contact PI
Modeling cancer evolution for prediction with neural networks: methods and applications$249,000
R00 · FY2021 · CA · contact PI