← Leaderboards
Byron Casey Wallace
University Of Texas At Austin
$1,886,926
Attributed
$4,658,307
Total exposure
5
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 $668.1K · FY2015–25$1M$750K$500K$250K$0
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$4,559,672 · 4
AHRQ$98,635 · 1
By mechanism
R01$4,108,824 · 3
UH2$450,848 · 1
R03$98,635 · 1
Top collaborators
- Iain Marshall8 shared
- Randolph Bias4 shared
- Thomas Trikalinos4 shared
- Geoffrey Young3 shared
- Zachary Ives2 shared
- Junyi Jessy Li2 shared
- Ani Nenkova2 shared
- Wei Xu2 shared
Most similar at University Of Texas At Austin
Same institution · by research overlap
- Iain Marshall$897,659
- Randolph Bias$299,632
- Justin Frederick Rousseau$1,775,434
- Wei Xu$233,543
- Junyi Jessy Li$233,543
Others in their field
Top investigators on “Text”
- Praduman Jain · Vignet, Inc.$115,298,074
- Sonia M Thomas · Research Triangle Institute$98,358,493
- Tracy L Nolen · Research Triangle Institute$98,358,493
- Roger T Howe · University Of California-Berkeley$89,901,072
- Daniel C Ralph · Cornell University$89,901,072
- Mark A Musen · Stanford University$60,884,947
Research focus
TextTrainingPublishingDesignCaringMachine LearningLiteratureNatural Language ProcessingReportingMedicalFeedbackInnovationBaseOpen SourceEvidence Based MedicineManualsSystematic ReviewEvidence BaseNatural LanguageEvidence Based PracticeOutputPrototypeDatabasesData Element
Grant awards (16)
Building Safety Guards into LLMs for Trustworthy Automatic Simplification of Medical Documents$336,838
R01 · FY2025 · LM
Building Safety Guards into LLMs for Trustworthy Automatic Simplification of Medical Documents$363,790
R01 · FY2024 · LM
Targeted Neural Text Summarization of Electronic Medical Records to Improve Imaging Diagnostics$304,324
R01 · FY2024 · LM · contact PI
Targeted Neural Text Summarization of Electronic Medical Records to Improve Imaging Diagnostics$350,504
R01 · FY2023 · LM · contact PI
Targeted Neural Text Summarization of Electronic Medical Records to Improve Imaging Diagnostics$358,786
R01 · FY2022 · LM · contact PI
Semi-Automating Data Extraction for Systematic Reviews$291,955
R01 · FY2022 · LM · contact PI
Semi-Automating Data Extraction for Systematic Reviews$292,031
R01 · FY2021 · LM · contact PI
Semi-Automating Data Extraction for Systematic Reviews$291,873
R01 · FY2020 · LM · contact PI
Semi-Automating Data Extraction for Systematic Reviews$320,194
R01 · FY2019 · LM · contact PI
Semi-Automating Data Extraction for Systematic Reviews$293,252
R01 · FY2018 · LM · contact PI
Semi-Automating Data Extraction for Systematic Reviews$293,503
R01 · FY2017 · LM · contact PI
Crowdsourcing Mark-up of the Medical Literature to Support Evidence-Based Medicine and Develop Automated Annotation Capabilities$210,198
UH2 · FY2017 · CA · contact PI
Semi-Automating Data Extraction for Systematic Reviews$293,874
R01 · FY2016 · LM · contact PI
Crowdsourcing Mark-up of the Medical Literature to Support Evidence-Based Medicine and Develop Automated Annotation Capabilities$240,650
UH2 · FY2016 · CA · contact PI
Hybrid Approaches to Optimizing Evidence Synthesis via Machine Learning and Crowdsourcing$98,635
R03 · FY2016 · HS · contact PI
Semi-Automating Data Extraction for Systematic Reviews$317,900
R01 · FY2015 · LM · contact PI