Research Interests

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• Deep Learning
• Artificial Intelligence
• Computational Biology
• Images classification using computer vision
• Big Data

Education

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Ph.D. in Computer Science, University of Missouri Columbia, (2015/06 – current)

• Research Topic: Protein Structure Quality Assessment and Refinement using machine leaning and deep learning techniques
• GPA: 3.83/4 .0

M.S. in Computer Science, University of Missouri Columbia, (2013/08 – 2015/05)

• Thesis: Machine learning methods for evaluating the quality of a single protein model using energy and structural properties
• GPA: 3.89/4.0

B.S. in Software Engineering, Beijing Jiaotong University, (2009/08 – 2013/07)

• Project: Protein structure refinement using traditional machine learning methods
• GPA: 3.0/4.0

Experience

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Graduate Research Assistant (2015/06 – current)

• Protein Structure Quality Assessment and Refinement using machine leaning and deep learning techniques.

Graduate Teaching Assistant (2014/07 – current)

• [CMP_SC 3330] – Objected Oriented Programming
• [CMP_SC 7001] – Big Data Analytics
• [CMP_SC 7750] – Artificial intelligence
• REU – Research Experiences for Undergraduates, Summer 2019
• Big Data Analytics Summer Experience, Summer 2015 – 2019

PCITC – Software Engineer Intern

• Design and develop Enterprise Resource Planning system using Java

Projects

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Deep Learning guided protein structure refinement

• Generate constrains of different critical level with deep learning methods to generate various template with high performance to do protein structure refinement.

Target based protein structure quality assessment using deep learning

• Develop deep learning methods to do target based protein structure quality assessment base on energy, sequential and structural features.

Deep learning based protein structure quality assessment

• Develop deep learning methods to do protein structure quality assessment base on sequential and structural features.

MUFold – Computational Protein Prediction System and Online Server

• Developed machine learning algorithms to do cross target protein structure quality assessment, protein structure refinement and structure prediction server.

Personal Side Projects

• Information Hiding Project based on images/GIF images.
• Design and Implementation of the Embedded and Shared Memory Database.

Honors & Awards

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• 2^nd The Critical Assessment of protein Structure Prediction 13 competition quality assessment category
• 7^th The Critical Assessment of protein Structure Prediction 13 competition refinement category
• 10^th The Critical Assessment of protein Structure Prediction 13 competition manual prediction category
• 1^st GYDO-GETIT software development competition
• BIBM 2019 Conference Travel Award