Zhixiang Ren, Ph.D.

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

Country

China

City

Shenzhen

Industry

Research

Skill

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

Peng Cheng Laboratory

Associate Research Scientist, Associate Professor, Ph.D. Supervisor, Lab Leader

Peng Cheng Laboratory

LinkedIn
2020-4 - Present · 6 yrs 6 mos

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

Sun Yat-sen University

Associate Research Fellow

Sun Yat-sen University

LinkedIn
2019-9 - 2020-3 · 7 mos

Zhuhai, Guangdong, China

AI for science

The University of New Mexico

Postdoctoral Fellow

The University of New Mexico

LinkedIn
2018-11 - 2019-5 · 7 mos

Albuquerque, New Mexico Area

Research in high energy astrophysics with data science and machine learning.

The University of New Mexico

Research Assistant

The University of New Mexico

LinkedIn
2014-2 - 2018-11 · 4 yrs 10 mos

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

The University of New Mexico

Teaching Assistant

The University of New Mexico

LinkedIn
2013-8 - 2015-5 · 1 yr 10 mos

Albuquerque, New Mexico Area

Regular office hours to answer students’ questions and assist them with the course work. Courses include: Senior Laboratory, Junior Laboratory, Optics Lab and General Physics.

Education

The University of New Mexico

The University of New Mexico

LinkedIn

Optical Science & Engineering - Astrophysics

2013 - 2018 · 5 yrs

The High Altitude Water Cherenkov Gamma-Ray Observatory (HAWC)

The University of New Mexico

The University of New Mexico

LinkedIn

Optical Science & Engineering - Photonics

2013 - 2016 · 3 yrs

Optics, semi-conductor physics, experimental physics

North University of China

North University of China

LinkedIn

Opto-electronic information engineering

2009 - 2013 · 4 yrs

Zhixiang Ren, Ph.D.'s Contact Information

Email

******@***.com

Phone

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