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Hi there! 🤑

My name is Deyi Li and I am currently a PhD student at the University of Florida.

Education:

👨🏻‍💻2023 - 2027 Doctor of Philosophy student in Biomedical Informatics, University of Florida College of Medicine
👨🏻‍💻2021 - 2023 Master of Science in Automated Science, Carnegie Mellon Universtiy School of Computer Science
👨🏻‍⚕️2015 - 2020 Doctor of Pharmacy, Shenyang Pharmaceutical Univeristy

My current research focuses on predictive models for Acute Kidney Injury (AKI). Relevant methodologies I studied including federated learning, transfer learning and causal inference.

Deyi (Eric) Li's Projects

02601hw icon 02601hw

2021 Fall 02601 Programming for Scientists HW

cmake icon cmake

Mirror of CMake upstream repository

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

getting-things-done-with-pytorch icon getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

liver_cancer_spatial_transcriptomics icon liver_cancer_spatial_transcriptomics

We used nHDP model to learn gene expression modules (GEMs) from scRNA data, and then use the learned model to infer GEM expression level on spatial transcriptomics data. Then we tried to establish GEM-Ligand-Recptor-GEM causual relationships.

xiaomishop- icon xiaomishop-

小米商城的部分静态页面,纯HTML和CSS编写。

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