CV

Basics

Name Chengshuai Zhao
Label Ph.D. Student · Computer Science
Email czhao93 [at] asu [dot] edu
Phone +1 (949) 227-7633
Url https://chengshuaizhao0.github.io/
Summary Ph.D. student in Computer Science at Arizona State University, working in the Data Mining and Machine Learning Lab (DMML). Research interests include Data Mining, Large Language Models, and AI for Science.

Work

  • 2024.01 - Present
    Doctoral Researcher
    Data Mining and Machine Learning Lab (DMML)
    Doctoral Researcher at Data Mining and Machine Learning Lab (DMML).
    • Data Mining
    • Large Language Models (LLMs)
  • 2024.01 - Present
    Graduate Research Associate
    School of Computing and Augmented Intelligence, Arizona State University
    Graduate Research Associate @ School of Computing and Augmented Intelligence (SCAI).
    • Data Mining
    • Large Language Models (LLMs)
  • 2022.07 - 2022.10
    Research Intern
    Westlake University
    Research Intern at AI Research and Innovation Laboratory.
    • Data Mining
    • Graph Neural Networks
  • 2019.09 - 2022.09
    Undergraduate Student Researcher
    Huazhong Agricultural University
    Undergraduate student researcher at Big Biomedical Data Mining Lab (BBDM).
    • Data Mining
    • Graph Neural Networks

Education

  • 2024.01 - 2029.01

    Tempe, AZ, USA

    Ph.D.
    Arizona State University
    Computer Science
  • 2022.09 - 2023.07

    Irvine, CA, USA

    B.S.
    University of California, Irvine
    Computer Science
  • 2019.09 - 2023.07

    Wuhan, China

    B.S.
    Huazhong Agricultural University
    Data Science
  • 2018.09 - 2023.07

    Wuhan, China

    B.S.
    Huazhong Agricultural University
    Life Science

Awards

Certificates

Skills

Research
Data Mining
Machine Learning
Natural Language Processing
AI for Science
Programming Languages
C
C++
Java
Python
R
Go
Scala
SQL
Verilog HDL
Operating Systems
Microsoft Windows
CentOS
Ubuntu
Databases
Oracle
MySQL
SQLite
MongoDB
Frameworks
Scikit-learn
Keras
TensorFlow
PyTorch
Hadoop
Spark
Tools
Git
Docker

Languages

English
Professional working proficiency
Chinese
Native proficiency