Accolades

Awards & recognition

Nearly all of these belong as much to the people I worked with as they do to me.

Dean's List
Doctoral dissertation (top 10%), TUM 2020-2024
Nature Communications Engineering Editor's Choice 2023For GaNDLF framework →
Nature Communications Top 25 Health Sciences Articles 2022
Federated Learning paper
Plenary Presentation (top 8%)
Pendergrass Symposium 2023, for the Comprehensive Federated Ecosystem (COFE)
Best Poster Award (top 5%)
NIH ITCR annual scientific meeting, 2020 and 2022
Oral Presentation (top 5%)
Pendergrass Symposium: Federated Tumor Segmentation (2021), breast density estimation from tomosynthesis (2022)
Magna cum Laude (top 10%)
Pendergrass Symposium 2021, for the Generally Nuanced Deep Learning Framework
2nd Place
Automatic Non-Rigid Histological Image Registration Challenge 2019
1st Place
Brain Tumor Segmentation Challenge at MICCAI 2015

Media

Press coverage

Intel and health institutions adopting federated learning to improve tumor detection

The largest brain tumor study to date, run without sharing a single patient scan

Why federated learning lets you ask medical questions across institutions

IU-led study using AI to predict breast cancer risk while addressing health disparities

The same federated brain tumor study, written up for a general audience

Happy to answer questions, and to point you at the collaborators who did the other half of the work.