Biography
LIU QI is currently an AI Research Associate Scientist at Global Health Drug Discovery Institute (GHDDI), in a Data Science group. Before joining GHDDI, he obtained his master’s degree in Control Engineering from Tsinghua University in June, 2021, and his bachelor’s degree from China University of Mining and Technology in June, 2018.
Research Interests: Artificial Intelligence, Graph Neural Networks, Interpretable Machine Learning
Interests
- Artificial Intelligence
- Graph Neural Networks
- Interpretable Machine Learning
Education
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M.Sc. in Control Engineering, 2021
Tsinghua University
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BSc in Electronic Information Science and Technology, 2018
China University of Mining and Technology
Education
M.Sc. in Control Engineering
- GPA: 3.8/4.0, Ranking: TOP 5%
- Advisor: Prof. Liu Ming
- Relevant Courses: Big Data Systems, Big Data Analytics, Pattern Recognition, Data Mining, Systems Engineering and Optimization
B.Sc. in Electronic Information Science and Technology
- GPA: 3.5/4.0, Ranking: TOP 5%
- Advisor: Prof. Liu Bing
- Related courses: Advanced Programming Language Design, Computer Architecture, Computer Networks, Data Structures, Operating Systems, Embedding System
Publications
Research and Technical Experience
AI Research, Associate Scientist | AI & Drug Discovery
- Led the design and development of an AI-generated project on small molecule drugs targeting the 3CL protein of COVID-19, proposing a novel approach to small molecule and protein processing.
- Participated in the design and development of ADMET property prediction projects for anti-viral and anti-malaria small molecule drugs, helping to establish a small molecule property prediction platform.
- Participated in the R&D of a project on the cryo-EM structure analysis of human abnormal fibrinogen with Peking Union Medical College, proposing a new analysis process and method.
Master’s Researcher
- I was responsible for the design and research of the “Cancer Early Detection and AI-Assisted Diagnosis Based on Tumor Liquid Biopsy Markers in Blood” project.
- I processed and constructed a DNA methylation dataset, and developed a new method for identifying tumor-specific DNA methylation sites and predicting the source of tumor tissue.
- The design and development of the “Medical Image Intelligent Annotation” project, in which I built multiple organ semantic segmentation models based on deep learning.
- I transformed the manual annotation software and developed an intelligent segmentation system and workflow for chest CT and MRI images. The project won the Excellent Enterprise Practice Award from the Department of Automation at Tsinghua University.
Undergraduate Researcher
- I was in charge of the design and development of “Image Natural Language Description Based on LSTM”. I created a Chinese image natural language description dataset and built multiple CNN+LSTM image description models.
- I compared the natural language description performance of the models on various datasets, and developed an application software. The project was named the Outstanding Undergraduate Graduation Project in 2018.
Projects
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Target-specific Molecular Generation integrating protein-ligand interactions
Hornors & Awards
- Tsinghua Comprehensive Excellence Scholarship (Top 10%), 2019
- CUMT Excellent Undergraduate Thesis (Top 10%), Xuzhou China, 2018
- CUMT First Prize Scholarship and Outstanding Student Award (Top 10%), Xuzhou China, 2017
- 1st Prize in The 13th National College Students’ Embedded System Design Competition, Beijing China, 2017
- 2nd Prize of East China Division in the 3rd National College Students’ “Internet+” Innovation and Entrepreneurship Competition, Nanjing China, 2017
Certificates
Mayo Clinic Healthcare Summit
Driving License (C1)
Skills
Programming
Python, Shell, C++, Java
Data science
R, SQL, Excel
Web Dev
HTML, CSS, JavaScript
Scientific
LaTeX, Git/GitHub, MATLAB
Languages
Chinese (native), English (fluent), German (beginner)
Others
C, VHDL/Verilog, PCB
Service
Membership
Student Membership of Chinese Association of Automation (CAA)
Deputy head
- Responsible for the establishment, management, and organization of laboratory events, as a founding member, assisted the professor in designing laboratory management regulations, organized and managed a student team of dozens of people, and organized a series of activities including more than a dozen scientific and technological innovation competitions, lectures, and other events.
Hobbies
Sports & Music
Biking, Badminton, Music
Art & Design
Photographing, Adobe, Powerpoint, CAD, Solid works
Others
Cooking, GIS, Translating, Writing
Contact
Contact Me
- nihaoworld@outlook.com, qi.liu@ghddi.org
- Building 2, Zhongguancun Dongsheng International Science Park, 1 Yongtaizhuang N Rd, Beijing, China 100192
Links
Academic
Blog
Code
Courses
Interests
Technical Communities
Others
Friends