Zhixiang Ren, Ph.D.
Associate Research Scientist, Associate Professor, Ph.D. Supervisor, Lab Leader @ Peng Cheng Laboratory
About
I focus on AI for Science, drug discovery and deep learning. I have published over 70 papers in journals including Nature Machine Intelligence, Briefings in Bioinformatics and IEEE Transactions, accumulating over 10K citations (H-index 31), and holds 20 Patents as well as 5 Software Copyrights. My Google Scholar: https://scholar.google.com/citations?hl=en&user=ec_pCdEAAAAJ&view_op=list_works&sortby=pubdate My Github: https://github.com/AI-HPC-Research-Team
China
Shenzhen
Research
Deep Learning, Large Language Models (LLM), Data Science, AI for Science, Artificial Intelligence aided Drug Discovery , Computer Science, Bioinformatics, Molecular Biology, Signal Processing, Scientific Computing, Artificial Intelligence (AI), High Performance Computing (HPC), Machine Learning, Statistics, Data Analysis, Optics, Python, Linux, C++, Matlab
Experience

Associate Research Scientist, Associate Professor, Ph.D. Supervisor, Lab Leader
Shenzhen, Guangdong
AI for science lab leader, AI cluster evaluation group leader, Ph.D. Supervisor, PI – AI aided drug discovery – Multimodal large AI models and deep generative models – AI for Science on AI supercomputing platform

Research Assistant
Albuquerque, New Mexico Area
Research of very-high-energy gamma-rays with HAWC Observatory. The main goal of my research is to improve the low signal-to-noise ratio of the big & complex exper- imental data. Achievements: • classification of data events with machine learning technique • data cleaning & mining & visualization of HAWC data • customized software for statistical analysis in Python • implemented & improved physical models in Python & C++ • complete survey of extra-galactic sources (AGNs) with HAWC data • designed an automated detection system for bad detectors • improved laser calibration system • presentations at international conferences & seminars
Education
Zhixiang Ren, Ph.D.'s Contact Information
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