Dr. Li Ming

PhD in Computational Biology

Specializing in Protein Folding Prediction and AI-driven Drug Discovery. Passionate about leveraging computational methods to solve complex biological problems. With a strong background in machine learning and bioinformatics, I am dedicated to developing innovative solutions for drug discovery and personalized medicine. My research focuses on developing novel deep learning algorithms for predicting protein structures and identifying potential drug candidates. I am proficient in Python, TensorFlow, PyTorch, and various bioinformatics tools. My long-term goal is to contribute to the development of more effective and personalized treatments for diseases.

Dr. Li Ming

Education Background

PhD in Computational Biology

Stanford University

2019-2023

  • Thesis: Deep Learning Approaches to Protein Structure Prediction
  • Advisor: Prof. Jennifer Doudna
  • Publications: 5 peer-reviewed articles in top journals

Master of Science in Computer Science

Tsinghua University

2016-2019

  • GPA: 3.9/4.0
  • Relevant Coursework: Machine Learning, Data Mining, Algorithms
  • Research Assistant: Developed a novel algorithm for image recognition

Bachelor of Engineering in Software Engineering

Shanghai Jiao Tong University

2012-2016

  • GPA: 3.8/4.0
  • Dean's List: 2014, 2015
  • Awards: Excellent Student Leader, National Innovation Competition Award

Awards & Honors

National Scholarship

Ministry of Education, China

2015

Outstanding Graduate Award

Tsinghua University

2019

Best Paper Award

International Conference on Computational Biology

2022

Excellent Student Leader

Shanghai Jiao Tong University

2015

Contact Information

liming.academic@email.com

linkedin.com/in/liming-academic

github.com/liming-research