Claire Schlesinger
Graduate Research Assistant At Geometric Learning Lab
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolClaire Schlesinger is a machine learning-focused software engineer and graduate research assistant at Northeastern University with eight years of research and engineering experience across graph neural networks, robotics, and LLM-driven code generation. She has contributed to multi-institutional projects—publishing work cited over 1,000 times—that apply steerable equivariant networks and information-theoretic methods to materials discovery, fluid simulation, and crystal property prediction. Proficient in Python, Java, and TypeScript, she routinely builds experiments in TensorFlow and PyTorch and has extended evaluation tooling for code-generating models (including work on MultiPL-E and language-model metrics). Her work blends theoretical tools like spherical harmonic tensor decomposition with practical systems engineering—e.g., robot recovery-code generation and deployable ML APIs—revealing a knack for turning mathematical insight into robust, reusable software. Based in Boston and pursuing a PhD in Computer Science, she combines deep academic rigor with hands-on implementation across research labs and industry internships.
8 years of coding experience
High School Diploma General Studies, High School Diploma General Studies at St. Stephen's Episcopal SchoolDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Northeastern University
Stackoverflow
33reputation
821reached
2answers
2questions
Github Skills (27)
python10
machine-learning9
tensorflow9
neural-network9
deep-learning9
documentation8
deep-neural-networks8
ml8
code-generation7
language-model7
html6
swift6
avfoundation6
css6
responsive6
Programming languages (5)
Github contributions (5)
esslushy/AbstractArtGenerator
Sep 2018 - May 2019
Contributions:27 commits, 73 pushes, 6 branches in 7 months
esslushy/MultiPL-E
Nov 2022 - Jun 2023
A multi-programming language benchmark for evaluating the performance of large language model of code.
Contributions:13 PRs, 164 pushes, 13 branches in 6 months
large-language-modelsprogramming-language
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