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Inderjit Dhillon
University Of Texas At Austin
$324,660
Attributed
$973,980
Total exposure
1
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 $221.3K · FY2016–20$250K$187.5K$125K$62.5K$0
'16
'17
'18
'19
'20
Funding mix
By agency
NIH$973,980 · 1
By mechanism
T32$973,980 · 1
Top collaborators
- Lauren Ancel Meyers5 shared
- James G. Scott4 shared
- Michael J Daniels1 shared
Most similar at University Of Texas At Austin
Same institution · by research overlap
- Michael D Mauk$14,422,886
- Jonathan William Pillow$9,750,993
- Elizabeth C. Matsui$26,850,805
- Eyal J Seidemann$13,519,563
- Stephen Carl Ekker$26,975,631
Others in their field
Top investigators on “Pre-Doctoral”
- Mary L. Disis · University Of Washington$94,676,392
- Gary Steven Firestein · University Of California San Diego$37,162,635
- Brian Richard Smith · Yale University$23,669,713
- John H Krystal · Yale University$23,226,518
- David D McPherson · Northwestern University$21,830,215
- Stephen P. Bell · Massachusetts Institute Of Technology$20,845,567
Research focus
Pre-DoctoralTrainingBig Biomedical DataData ScienceBig-Data Science
Grant awards (5)
PREDOCTORAL TRAINING IN BIOMEDICAL BIG DATA SCIENCE$189,613
T32 · FY2020 · LM
PREDOCTORAL TRAINING IN BIOMEDICAL BIG DATA SCIENCE$172,778
T32 · FY2019 · LM
PREDOCTORAL TRAINING IN BIOMEDICAL BIG DATA SCIENCE$188,037
T32 · FY2018 · LM
PREDOCTORAL TRAINING IN BIOMEDICAL BIG DATA SCIENCE$202,240
T32 · FY2017 · LM
PREDOCTORAL TRAINING IN BIOMEDICAL BIG DATA SCIENCE$221,312
T32 · FY2016 · LM