Hendrik Strobelt

Senior Research Scientist, IBM Research & MIT-IBM AI Lab

Cambridge, Massachusetts, United States
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Summary

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Hendrik Strobelt is a senior research scientist at IBM Research and the MIT‑IBM AI Lab with 14 years of experience at the intersection of machine learning, information visualization, and human–AI interaction. He holds a PhD in Computer Science/Information Visualization and has held research and teaching roles at MIT, Harvard, CMU, and the University of Konstanz, combining deep academic roots with industry research impact. Hendrik is a hands‑on developer and prolific open‑source contributor—co‑authoring notable visualization tools such as LSTMVis, GLTR, GanPaint and the lightweight Mini‑Conf front end—demonstrating a rare ability to move ideas from research code to usable interfaces. His work emphasizes explainability and interactive tools that help analysts and researchers probe complex models, and he has a track record of refactoring and shipping UX‑focused features across full‑stack projects. Based in Cambridge, MA, he blends rigorous scholarship with practical engineering to make ML systems more interpretable and accessible.
code14 years of coding experience
job12 years of employment as a software developer
bookDipl. Inf. (MSc), Computer Science, Dipl. Inf. (MSc), Computer Science at Technische Universität Dresden
bookPostDoc Experience, PostDoc Experience at Harvard University
bookDr. rer. nat. (PhD), Computer Science / Information Visualization, Dr. rer. nat. (PhD), Computer Science / Information Visualization at Universität Konstanz
languagesGerman, English, Russian
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Stackoverflow

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21reputation
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1answer
0questions
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Github Skills (18)

javascript10
visualization10
css10
user-interface10
recurrent-neural-networks10
heatmap10
front-end-development10
html10
d3js10
visualizations10
bootstrap9
ui-design9
interface-design9
bootstra9
shell6

Programming languages (5)

TypeScriptJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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HendrikStrobelt/LSTMVis

Jun 2016 - Nov 2021

Visualization Toolbox for Long Short Term Memory networks (LSTMs)
Role in this project:
userFull-stack Developer
Contributions:1 release, 138 commits, 11 PRs in 5 years 6 months
Contributions summary:Hendrik appears to be refactoring and implementing features for the LSTMVis project. The initial commit initializes the pattern finder visualization. Subsequent commits involve refactoring the pattern finder visualization, including the creation of GUI elements such as buttons and sliders, and implementing functionality such as heatmap and word display. The user also adds and refines functionality related to the display and selection of meta-data, including work on filtering and selection logic for the visual elements.
termmemorydeep-learninglstmrecurrent-neural-networks
Mini-Conf/Mini-Conf

May 2020 - Dec 2020

Run a conference from your backyard.
Role in this project:
userFront-end Developer
Contributions:1 review, 29 commits, 7 PRs in 6 months
Contributions summary:Hendrik primarily worked on front-end components, with a focus on the user interface. Contributions included adding and modifying HTML templates, CSS styles, and JavaScript files. The user's changes improved the visual representation of the application and incorporated external libraries like Bootstrap and Tippy.js, indicating a focus on improving the user experience within the "mini-conf" project.
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