Hi there 👋 I am Pengcheng Xu.

Welcome to visit my Personal Website.

Welcome to talk to ChatGPT version of me on my PengchengGPT website😄!

ChatGPT-Chatbot-Personal-Website repo is here. If you think it's cool or want to use it, please star it! Thank you~

Here is my warm greetings! Welcome to my home page. My name is Pengcheng Xu(pronounced as Peng-cheng Hsu). In Chinese, my name is written as 徐鹏程, where 徐 is Xu, 鹏 is Peng, 程 is Cheng. 徐 is my surname(Also has the meaning of slow). 鹏 is a giant bird in ancient Chinese myth. It has huge wings and can fly 5000 kilometers at a time. 程 means journey. So, basically my name means the journey of the huge bird 鹏.This name carries the hope of my parents for me to have a bright and shining future, as well as a promising and ambitious path ahead.

• 🌱 Education:

  • I am going to study for Computer Sciencce PhD Degree at UC Irvine starting from 24Fall.
  • I completed a Master's degree in Electrical and Computer Engineering at the University of Illinois Urbana-Champaign by December 2023.
  • I previously obtained my Bachelor's degree in the same field ECE from the University of Michigan - Shanghai Jiao Tong University Joint institute between 2018 and 2022.

• 🎸 In my free time, I enjoy singing, playing the guitar, working out, playing basketball, tennis, swimming, reading, watching films, and exploring everything related to science and technology. I'm particularly inspired by Richard Feynman and Elon Musk. You can check out some of my technology explanations and guitar playing on My bilibili.

• 💻 When it comes to programming languages, I'm skilled in C, C++, and Python. Additionally, I have project experience with MATLAB, Verilog, Java, R, and Javascript,Typescript. I also have experience using various frameworks and libraries such as PyTorch, TensorFlow, Keras, Sk-learn, Pandas, and Horovod.

• 🔭 My main interests are in applied machine learning for healthcare or science, computer vision, multi-modal learning, computer systems, distributed systems and distributed learning, and computer architecture.

• 🔬 Research and 💼 Work Experience:

  • I have been working on MeiNN: Methylation embedding interpretable neural network to find Common functions of DNA methylation in phenotypes using multi-task learning since Sep,2021. I submitted a paper where I am the first author. The paper is now under review. See https://arxiv.org/abs/2306.13866.
  • I interned as Software Engineer Intern at Amazon Web Services from May 2023 to August 2023. I am working for VMware Cloud on AWS (Brio) Group. I had two projects. One is about UI rate card front-end back-end development, using Typescript,Java. One is about Anomaly Detection, using SQL,Python,Java.
  • I have been interned as a Multi-modal Cognitive Computing Algorithm Intern at Shanghai AI Laboratory. I worked on Multi-modal target detection with zero-shot depth estimation, Multi-modal Neural Architecture Search.
  • I have open-source software development experience for OpenMLDB, it's a ML related Database developed by an AI company 4Paradigm Co.,Ltd. I developed AutoFE: automated feature engineering tool. See my pull request. See my presentation for 4Paradigm in public in "OpenMLDB Meetup No.7". See OpenMLDB-GitLink Code Camp 2022 mid-term presentation.
  • Deep Learning Software Engineer Intern at Intel Corporation, working on Intel Neural Compressor, and ML inference server software.
  • Algorithms Intern at Shukun Technology Co.,Ltd, working on Multi-node Training for 3D-UNet with horovod, horovod. See my presentation for my study in multi-node training and horovod(6.3+ view).

• 📫 If you'd like to get in touch with me, you can reach me on

  • My mobile phone: +1 2175501337
  • My Email: [email protected].
  • My Linkedin
  • My Instagram.