Charles Young

Mental Health Specialist Hotline Counselor at Shanghai Mental Health Center

Shanghai, Shanghai, China
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Summary

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Senior
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Top School
Charles Young is a medical student and mental health specialist with eight years of experience combining clinical training and psychological research across Shanghai and Montreal. Trained in psychology at McGill and currently pursuing a medical degree at Shanghai Jiao Tong University, he contributes to psychiatric epidemiology projects at Shanghai Mental Health Center focused on mental health law, policy evaluation, and development of validated digital diagnostic instruments. As a hotline counselor he conducts monthly intake and crisis support for the broader population in Shanghai, blending research insights with frontline clinical exposure. Preparing for USMLE Step 1, he aims to pursue psychiatry and a postdoctoral research path in North America, bringing a rare mix of cross-cultural training, policy-focused research, and hands-on counseling experience.
code8 years of coding experience
bookBachelor of Arts - Psychology, Bachelor of Arts - Psychology at McGill University
bookHigh School Diploma (BC, Canada), High School Diploma (BC, Canada) at Shanghai Nanyang Model Private High School
bookSchool of Medicine - Bachelor of Medicine, School of Medicine - Bachelor of Medicine at Shanghai Jiao Tong University
languagesEnglish, Chinese
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Github Skills (16)

image-enhancement10
lookup-table9
3d8
keras-tensorflow7
pytorch7
intelligent5
apache-spark4
scala4
python4
bigdl3
keras3
java3
distributed-tensorflow3
analytics-zoo2
inference1

Programming languages (4)

ShellC++Jupyter NotebookPython

Github contributions (5)

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ImCharlesY/AdaInt

Nov 2021 - Jul 2022

[CVPR 2022] Official PyTorch Implementation of "AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement" (https://arxiv.org/abs/2204.13983)
Contributions:8 commits, 2 PRs, 1 push in 8 months
3dimage-enhancementlookup-tablepytorch
ImCharlesY/SepLUT

Jun 2022 - Jul 2022

[ECCV 2022] Official PyTorch Implementation of "SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancement" (https://arxiv.org/abs/2207.08351)
Contributions:6 commits in 1 month
image-enhancementlookup-tablepytorch
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