Yifan Wu

Graduate Student

Missouri, United States
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Summary

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Senior
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Top School
Yifan Wu is a neuroscience PhD candidate at Washington University in St. Louis with 8 years of research experience investigating astrocyte roles in neuromodulation, cognition, and psychiatric disorders. He combines deep wet-lab expertise — from multi-photon imaging and electrophysiology to behavioral assays and molecular biology — with practical computational skills, having developed and published an imaging analysis pipeline in MATLAB and Python to quantify localized calcium activity. His work bridges basic science and translational questions around schizophrenia, and he has a track record of collaborative projects managed with strong time management and planning. Beyond the bench, Yifan contributes to open-source ML tooling, implementing a PyTorch anomaly detection model (DeepLog), demonstrating an appetite for applying machine learning to neuroscience data.
code8 years of coding experience
job4 years of employment as a software developer
bookBachelor's degree, Biology, General, Bachelor's degree, Biology, General at South University of Science and Technology of China
bookGraduate student, Neuroscience, Graduate student, Neuroscience at Washington University in St. Louis
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Github Skills (8)

pytorch10
machine-learning10
deep-learning10
anomaly-detection10
python10
tensorboard9
lstm8
data-processing8

Programming languages (10)

TypeScriptJavaC++CSSRustCVueHTML

Github contributions (5)

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wuyifan18/DeepLog

Dec 2018 - Jul 2020

Pytorch Implementation of DeepLog.
Role in this project:
userML Engineer
Contributions:59 commits, 1 PR, 51 pushes in 1 year 6 months
Contributions summary:Yifan primarily worked on implementing and refining a PyTorch-based deep learning model for anomaly detection. Their commits include adding and modifying code for data processing, training, and prediction, along with integrating with tensorboardX for logging. The user also made changes to the model architecture and hyperparameters, and fixed a mistake in the model training loop.
pytorchsequence-predictiondeep-learninganomaly-detectionpytorch-implementation
Contributions:171 pushes, 3 branches, 4 issues in 1 year
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Yifan Wu - Graduate Student