Daniel Haehn
Associate Professor
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolDaniel Haehn is an associate professor and biomedical imaging researcher based in Cambridge, MA, with 16 years of experience at the intersection of brain connectivity, visualization, and biologically inspired AI. He leads the Machine Psychology research group and the AI Research Core at UMass Boston while holding an associate role in computer science at Harvard, bridging academic leadership with hands-on research. Daniel's work spans medical imaging software development—contributing full-stack improvements to the widely used CTK toolkit—to novel investigations of machine perception informed by neuroimaging. Trained with a PhD from Harvard and an MSc in medical computer science from Heidelberg, he combines rigorous computational methods with practical tool-building. Outside the lab he codes in open source, advocates for CS for All, and balances work with WebGL experiments, boxing, and family life.
16 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Harvard UniversityDiplom (MSc), Medical Computer Science, Diplom (MSc), Medical Computer Science at Heidelberg University
German, English
Stackoverflow
967reputation
40kreached
74answers
6questions
Github Skills (17)
c-language10
qt10
slicer10
3d10
cprogramming-language10
cross-platform9
work-flow9
medical-imaging8
plugman7
vtk6
dicom6
xtk6
dom6
webgl6
visualization6
Programming languages (10)
Github contributions (5)
commontk/CTK
Sep 2010 - Aug 2011
A set of common support code for medical imaging, surgical navigation, and related purposes.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:5 commits in 11 months
Contributions summary:Daniel contributed to the enhancement and modification of existing widgets and core workflow functionalities within the medical imaging framework. They introduced new properties for `ctkColorPickerButton` to control the display of color names and added a property to `ctkWorkflow` for controlling the behavior of `goToStep` function after success. The user also implemented functionality to get and set values for the `ctkMatrixWidget` using `QVector<double>`. Furthermore, they added the `errorTextEnabled` property to `ctkWorkflowGroupBox` and made `workflowGroupBox` method `Q_INVOKABLE` to enable python access.
pythonmitk3d-slicerosgic-plus-plus
mpsych/CACTAS
Oct 2022 - Dec 2023
Carotid Artery-Computed Tomographic Angiography Scoring
Contributions:2 reviews, 13 PRs, 101 pushes in 1 year 1 month
computedangiographyarteryscoring
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