Hi, I'm Claire Schlesinger

I am an experienced undergraduate researcher and software engineer specializing in machine learning, artificial intelligence, and neural networks. I have contributed to cutting-edge research at Northeastern University and the University of Texas, working on graph neural networks, robotics, and large language models (LLMs) resulting in several papers with over 1000 citations. I am proficient in Python, Java, and Typescript, and have experience with frameworks such as TensorFlow and PyTorch.

CV Resume

News:

I received the NSF GRFP 2025

I finished a paper on CodeLLMs and reflection techniques for human-robot interaction during my internship at UT Austin Autonomous Mobile Robotics Lab! Check it out here: Creating and Repairing Robot Programs in Open-World Domains

I am currently working with the Data Driven Renewables Research Lab and Geometric Learning Lab at Northeastern University on a project using reinforcement learning and generative AI to produce candidate slabs with desired thermoelectric properties.

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