David Yunis
PHD Candidate
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolDavid Yunis is a PhD candidate in machine learning at TTIC, advised by Matthew Walter and collaborating closely with TTIC and UChicago CS. His research blends empirical deep learning with a focus on language modeling, reinforcement learning, and the optimization behavior of neural networks. David has rich industry research experience from internships at NVIDIA, IBM Research, and Google DeepMind, and is supported by the NSF Graduate Research Fellowship (2019). He earned BS degrees in Mathematics and Molecular Engineering from the University of Chicago and previously served as an Undergraduate Research Assistant at TTIC. Based in the Greater Chicago Area, he maintains a project page at dyunis.github.io and is known for translating rigorous theory into practical ML insights.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Toyota Technological Institute at ChicagoBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at University of Chicago
Github Skills (19)
keras9
hyperparameter-tuning9
collaboration8
api8
data-versioning8
reinforcement-learning8
pytorch7
visualization7
machine-learning7
tensorflow7
ai7
hyperparameter-optimization7
deep-learning7
python7
cli7
Programming languages (3)
Github contributions (5)
dyunis/vimrc
May 2020 - Sep 2024
Contributions:33 pushes in 4 years 4 months
dyunis/viz_app
Sep 2020 - Jul 2021
Contributions:32 pushes, 2 branches in 10 months
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