Daniel Hershcovich
Tenure-Track Assistant Professor at Datalogisk Institut, Københavns Universitet - DIKU
Copenhagen, Capital Region of Denmark
Summary
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Rockstar🎓
Top SchoolDaniel Hershcovich is a Tenure-Track Assistant Professor at DIKU, University of Copenhagen, with 12 years of experience bridging research and engineering in NLP, meaning representation, and graph-structured semantic frameworks. He focuses on parsers and frameworks that capture deep semantics while abstracting away from surface form, and on applying meaning representations to knowledge bases like Wikidata. His background spans a PhD in computational neuroscience/computer science, a decade of applied ML and software engineering at IBM Research, and hands-on open-source contributions to projects such as the DyNet neural toolkit and civic UI work on the ANYWAY car-accident map. Comfortable across C++, Python, and full-stack development, he brings both theoretical rigor and practical implementation skills to reproducible, production-relevant language understanding.
12 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Neuroscience, Computer Science, Doctor of Philosophy (Ph.D.), Computational Neuroscience, Computer Science at The Hebrew UniversityBachelor of Science (B.Sc.), Mathematics, Computer Science, 93, Bachelor of Science (B.Sc.), Mathematics, Computer Science, 93 at The Open University of Israel
Japanese, Hebrew, English, German, Dutch, Russian, Italian, French, Spanish, Swedish, Greek, Hungarian, Korean, Danish
Stackoverflow
3,781reputation
1.5mreached
35answers
9questions
unix
top-5%
gnu
top-1%
Github Skills (27)
javascript10
c-language10
python10
css10
machine-learning10
deep-learning10
html10
maps10
cprogramming-language10
google-maps-api10
gnu10
unix9
serializer9
serialization9
backbonejs9
Programming languages (14)
Github contributions (5)
data-for-change/anyway
Mar 2014 - Jan 2018
ANYWAY - Car accidents map
Role in this project:
Front-end Developer
Front-end DeveloperContributions:489 commits, 234 PRs, 439 pushes in 3 years 10 months
Contributions summary:Daniel primarily contributed to the user interface development of the "Anyway - Car accidents map" project. Their work involved implementing new UI components, such as a date picker and a "go to my location" button, and enhancing existing ones, like the sidebar marker list. The user's commits also included styling changes, such as the icon for the user's location and overall visual improvements, including Facebook integration.
public-datatraffic-incidentsaccidentsmapcar
clab/dynet
May 2016 - Aug 2022
DyNet: The Dynamic Neural Network Toolkit
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:91 commits, 47 PRs, 24 pushes in 6 years 3 months
Contributions summary:Daniel primarily contributed to the DyNet project by fixing typos and improving the documentation for the Python tutorial. They also implemented support for saving and loading BiRNNBuilder models, enhancing the project's usability. Furthermore, they added necessary functions to `dynet_viz` and fixed several compilation errors and installation issues. This indicates a focus on both the Python API and the underlying C++ codebase.
dynetdynamic-neural-networkdeep-learningneural-networksmachine-learning
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