Profile
PhD student in computational biology, researching the conformational dynamics of intrinsically disordered regions (IDRs) in proteins, combining deep learning modeling and molecular dynamics simulations.
Proficient in Python+R / GROMACS+Amber / PyTorch+Sklearn, with research interests in transcription factors related to 3D genomics. Also do some multi-omics data analysis about cancer.
Education
PhD · Computational Biology
2024 - Present · Shanghai Jiao Tong University, Shanghai, ChinaBachelor · Bioinformatics
2020 - 2024 · Southeast University, Nanjing, ChinaExperience
Summer Intern, BGI Research
2023-7-3 ~ 2023-8-27 at Institute of Precision Health, BGI Research/Shenzhen BGI Institute of Life Sciences, Shenzhen, China
Multi-Omics Cohort Study of Cardiovascular and Cerebrovascular Diseases, with hands-on practice on HPC(High-Performance Computing)
Publications
Skills
Coding
Python R Bash/Shell Linux
Machine Learning
Scikit-learn Pytorch
Molecular Dynamics Simulation
Gromacs Amber/Ambertools
Electronics & Mechanical CAD / Simulation
Multisim Quartus SolidWorks MATLAB
Multi-Omics Pipeline Analysis
Bulk Multi-Omics Single-Cell Multi-Omics Spatial Transcriptomics/Spatial Omics
Awards
- 2024 · Outstanding Undergraduate Graduate of Southeast University