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Zhang-Zhaoji/README.md

About Me

It is my pleasure to meet you here. I am Zhaoji Zhang(张 兆骥 in Simplified Chinese), a graduate student from Peking University. After 4-year hard work at Peking University, I earned 2 Bachelor of Science on Chemical Biology and Intelligence Science and Technology(also known as AI). I am persuing my Ph.D. in Integrated Life Science at Center of Life Science(CLS)@PKU-THU (2025-). Currently I am still in rotation, and willing to explore different aspects of neuroscience labs.

My curiosity about Neuroscience, especially circuit, computation, and system neuroscience, has led me to be an intern at Yatang-Li's Lab at the Chinese Institute for Brain Research, Beijing (CIBR, Beijing) and finally led me into integrated life science program at Center for Life Science, Academy for Advanced Interdisciplinary Studies, Peking University.

My resume and my undergraduate_academic transcript are available for a deeper look into my academic journey, and you can find my research profile on ORCID.

If you want to contact me, please email me at 2501111571@stu.pku.edu.cn or zhang-zj@stu.pku.edu.cn. Checking my student e-mail is one of my daily routine, so I would respond that in around 24 hours.

Coding Languages

Most of the coding works I have done is about computer vision or Machine Learning/Deep Learning/Reinforcement Learning, thus Python is my first-choice coding language. C/C++ is used for replace some for/while loops to get higher speed, although the easiest way to use .dll files in python, ctype, only permits basic C-style data structures.

I would use R to do some data analysis or statistic jobs, and R-codes are really good(and also easy) at drawing beautiful scientific figures. R-markdown is just like Python notebook, but R seems to have relatively faster speed.

Pytorch is the most common DL-framework I use, but I would learn tensorflow if necessary.

Rank Language Familiarity
1 Python Proficient
2 C/C++ Proficient
2 R Proficient
4 matlab Competent
5 Java beginner

Something you might get interested in

  • 🔭 I’m currently working on biological-plausible perception modeling especially about visual saliency(which is one of the current focuses of Yatang-Li's Lab).
  • 🌱 I’m currently learning neuroscience, computational biology, chemical biology, artificial intelligence and raspberry-pie developing.
  • 😄 Pronouns: He/Him.
  • 🎥 Run Wechat accounts and a Bilibili(a video social platform in China) account with friends, majorily about memes, science popularization and daily life. My Bilibili videos have garnered over 800k views and 10k likes as of July 18, 2024.
  • 🧑🏽‍🎨 Sketch level 10 recognized by CHINA ACADEMY OF ART, and I am also able to paint Gouache.
  • 🎼 Play Not bad harmonica. My future plan is to learn guitar/bass/violin if time permits.
  • ⚡ Fun fact: I am also a multilingual that I can read basic German and French besides Chinese(my native language) and English. I am willing to learn Spanish, Latin, Japanese, Arabic or Vietnamese in the future if I have a chance.

Popular repositories Loading

  1. itti-Saliency-method_python3 itti-Saliency-method_python3 Public

    a non-official python3 implementation of Itti and Koch's Salience map

    Python 1

  2. FastGabor_Python FastGabor_Python Public

    Based on J. Kim, S. Um and D. Min, "Fast 2D Complex Gabor Filter With Kernel Decomposition," in IEEE Transactions on Image Processing, vol. 27, no. 4, pp. 1713-1722, April 2018,

    C++ 1

  3. Full-SalFoM Full-SalFoM Public

    Forked from mr17m/SalFoM---Video-Saliency-Prediction

    add some essential files to make it move

    Python 1

  4. SAM-finetuned-on-BTCV SAM-finetuned-on-BTCV Public

    Jupyter Notebook

  5. Style-transfer-Laplacian-depth-loss-and-Adain Style-transfer-Laplacian-depth-loss-and-Adain Public

    Jupyter Notebook

  6. Image-Saliency-Evaluation Image-Saliency-Evaluation Public

    a non-official numpy&opencv implementation of Kummerer M, Wallis T S A, Bethge M. Saliency benchmarking made easy: Separating models, maps and metrics (ECCV). 2018: 770-787.

    Python