Biography
I am Qi Liu (pronounced Chee Lyoo), and my name in Chinese is 刘奇. I was born and raised in Hubei Province, China. In 2018, I received my Bachelor’s degree in Electronic Information Science and Technology from China University of Mining and Technology. In 2021, I obtained my Master’s degree in Control Engineering from Tsinghua University, where my research focused on machine learning and bioinformatics. After that, I gained three years of industry experience in the data science group at the Global Health Drug Discovery Institute in Beijing. In December 2024, I started my Ph.D. at Ludwig Maximilian University of Munich (LMU) and joined the Ertürk Lab. Here, my work is on machine learning, foundation models, and the processing and analysis of biomedical data. In my spare time, I enjoy playing badminton, cooking, and taking photographs.
- Artificial Intelligence
- AI for Science
- Medical Research
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Ph.D. Candidate of Medical Research, now
Ludwig Maximilian University of Munich
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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
- 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
- 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
Research and Technical Experience
- 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.
- 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.
- 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
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
Skills
Python, Shell, C++, Java
R, SQL, Excel
HTML, CSS, JavaScript
LaTeX, Git/GitHub, MATLAB
Chinese (native), English (fluent), German (beginner)
C, VHDL/Verilog, PCB
Service
- 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
Biking, Badminton, Music
Photographing, Adobe, Powerpoint, CAD, Solid works
Cooking, GIS, Translating, Writing
Contact
Contact Me
- nihaoworld@outlook.com, liu.qi@campus.lmu.de
- Institute for Stroke and Dementia Research (ISD), Feodor-Lynen-Straße 17, München, Germany 81377