Hi! I'm William Jarrard a Machine Learning Engineer and Data Scientist
I have a passion for the application of deep learning to new and exciting problems and the development of foundational models to enable new research.
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Some of my highlighted projects
Pretrained and finetuned a foundational model on Amazon Sagemaker that incorporated epigenetic information alongside sequence information. When pretrained on TF binding data, the model achieved almost 90% accuracy. (In progress).
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I developed a cutting-edge method for extracting crucial information, like drug names, from paper medical sheets. By utilizing YOLO for segmentation and LSTMs to capture the sequential nature of drugs, my method achieved impressive accuracy rates. This project has the potential to streamline the medical record-keeping process and improve patient care.
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My portfolio is a website written in Sveltekit using Tailwind for styling. It is hosted on Vercel and is a showcase of my ability to learn and use new technologies on my own.
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