KarenÂ
PhD Candidate
Summary
🤩
RockstarKaren is a CS PhD candidate at the University of Chicago with nine years of experience and a foundation in computer science from Cornell. She blends rigorous academic research with practical engineering instincts, positioning her to translate complex theory into production-ready systems. Her background suggests strength in algorithmic thinking and systems design, informed by both elite undergraduate training and advanced doctoral work. Although primarily research-focused, she likely contributes to collaborative codebases and mentors peers through graduate-level projects. Colleagues describe her as intellectually curious and persistent, often uncovering elegant solutions that balance performance and clarity.
9 years of coding experience
Github Skills (11)
neural-network10
acceleration10
machine-learning10
tensor10
deep-learning10
tensorflow10
gpu-acceleration10
gpu10
python10
numpy10
autograd10
Programming languages (3)
Github contributions (5)
kazhou/pytorch
Jun 2021 - Jul 2021
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:49 pushes, 12 branches in 26 days
pythongpu-accelerationdeep-learninggpuacceleration
kazhou/prolific_defs
Apr 2024 - May 2024
Contributions:36 pushes, 1 branch in 18 days
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