Decoding Behavior from Neural Data
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Designed new and implemented existing algorithms for decoding mouse wheel speed behavior from neuron-level brain recordings.
Here are some of my projects. You can find everything on my GitHub.
Created:
Designed new and implemented existing algorithms for decoding mouse wheel speed behavior from neuron-level brain recordings.
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Analyzed trajectories of language model embeddings projected onto a 3-sphere using UMAP. Won the special Nomic bounty at the NYU Generative AI Betaworks Hackathon.
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Our shell tool, called LangShell, is a GPT-3 based shell assistant with a memory. You can tell LangShell facts about yourself, and you will never forget them (unless you want it to). We built LangShell using Python, the OpenAI GPT-3 API, and the Huggingface MiniLM-L6-v sentence similarity API. It is based on a fork of Shell GPT, and we plan to release it as a Pull request on the original repo.
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Charizzma is an AI conversational advice-giver that helps you respond smoothly when you need it most. Specifically, we used real-time transcription, keyword extraction, and speech synthesis to deliver advice in real time.
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Conducted a literature review of unsupervised disentanglement and ran experiments with disentanglement and scale. Here are the report and math notes.
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Interpreted a vision transformer. I made changes to the lucent library, created a frontend to visualize things, and made a slideshow write-up of my work.
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Created a pong playing robot for Columbia Art of Engineering project.
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Created a model to view lung X-rays to localize lung opacities and use them to make COVID-19 diagnoses.
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Created fun fruit themed videos of cool projects.
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Created a headset and program to be used by visually impaired pedestrians.
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Created a robotic mole plush toy that talks and takes voice commands for mole day.