Please contact me if you would like a copy of my CV in more detail.

Yinchun Su
Phone: (hide for visitors)
GitHub: randef1ned
Location: Harbin, PR China
Employment
Research assistant in Harbin Medical University
Harbin, PR China
Harbin Medical University
Jul 2024 – Present
Education
MSc in Neurobiology
Harbin, PR China
Harbin Medical University
Sep 2021 – Jun 2024
  • Courses: medical cell biology, medical molecular biology, flow cytometry, medical paper writing.
  • First-class scholarship for outstanding performance in the top 10 %.
  • Thesis: DTSEA: A network-based drug target set enrichment analysis method for drug repurposing against COVID-19.
BSc in Applied Psychology
Wuhan, PR China
Hubei University of Education
Sep 2017 – Jun 2021
  • Courses: Human anatomy and physiology, cognitive psychology, health psychology, research methodologies, statistics, psychometrics, experimental psychology.
  • GPA: 3.51.
  • Third-class scholarships for outstanding performance in the top 15 %.
  • Thesis: Narrative metaphors in fairy tales: an embodied cognition perspective (First-class mark).
Honors and scholarships
Second-class scholarship of Harbin Medical University
2023
Second-class scholarship of Harbin Medical University
2022
First-class scholarship of Harbin Medical University
2021
Outstanding thesis award of Hubei University of Education
2021
Publications
A knowledge-based artificial intelligence system for drug prioritization accelerating precision treatment
Yinchun Su, Jiashuo Wu, Xilong Zhao, Jiyin Lai, Yue Hao, Bingyue Pan, Ziyi Wang, Yongbao Zhang, Yujie Tang, Qingfei Kong, and Junwei Han.
Journal: Journal of Big Data. 2025 expected.  (under review)
iPRISM: Intelligent Predicting Response to cancer Immunotherapy through Systematic Modeling
Yinchun Su, Siyuan Li, Qian Wang, Bingyue Pan, Jiyin Lai, Guangyou Wang, Junwei Han, and Qingfei Kong.
Journal: Advanced Intelligent Systems. 2024 expected.  (under review)
Impaired cerebral microvascular endothelial cells integrity due to elevated dopamine in myasthenic model
Yue Hao, Yinchun Su, Yifan He, Wenyuan Zhang, Yang Liu, Yu Guo, Xingfan Chen, Chunhan Liu, Siyu Han, Buyi Wang, Yushuang Liu, Wei Zhao, Lili Mu, Jinghua Wang, Haisheng Peng, Junwei Han, and Qingfei Kong.
Journal: Journal of Neuroinflammation. 2024. 21, 10  PMID: 38178152.  Cited by 1.
DTSEA: A network-based drug target set enrichment analysis method for drug repurposing against COVID-19
Yinchun Su, Jiashuo Wu, Xiangmei Li, Ji Li, Xilong Zhao, Bingyue Pan, Junling Huang, Qingfei Kong, and Junwei Han.
Journal: Computers in Biology and Medicine. 2023. 159, 106969  PMID: 37105108.  Cited by 11.
Metformin inhibits the pathogenic functions of AChR-specific B and Th17 cells by targeting miR-146a
Yue Hao, Wei Zhao, Lulu Chang, Xingfan Chen, Chonghui Liu, Yang Liu, Lixuan Hou, Yinchun Su, Hao Xu, Yu Guo, Qixu Sun, Lili Mu, Jinghua Wang, Hulun Li, Junwei Han, and Qingfei Kong.
Journal: Immunology Letters. 2022. 250, 29-40  PMID: 36108773.  Cited by 3.
Resources of primary school students’ happiness: based on Wuhan sample
Xianhua Wu, Jiaxin Zhao, Yinchun Su, Chengjin Zhou, Qianwen Zhang, and Si Wang.
Journal: Journal of Shijiazhuang University. 2021. 23 (3), 143-151
Code projects
Created projects
  • Labyrinth is a memory-inspired computational framework for personalized drug prioritization. View on GitHub. View documentation.
  • iPRISM is a network-based model that integrates multiple data types to predict immunotherapy outcomes. View on CRAN.
  • DTSEA is a network-based tool that identifies the candidate drugs against a particular disease. View on CRAN.
Contributions to other projects
  • Contributed revisions and expand functionality to diffusr, a network diffusion algorithm in R. View on GitHub.
  • Submitted approved pull requests to fix the RTutor package. View original GitHub repo.
Skills
Software skills
  • IBM SPSS: advanced
  • Microsoft Office: advanced
  • RedHat Enterprise Linux: intermediate
  • GraphPad Prism: intermediate
  • Adobe Illustrator: intermediate
  • Cytoscape: intermediate
  • Gephi: intermediate
  • Zotero: intermediate
  • PsychoPy: intermediate
  • CiteSpace: intermediate
  • Nvivo: basic
  • Adobe Photoshop: basic
Computer languages
  • R: advanced
  • Python: intermediate
  • C++ (Rcpp): intermediate
  • C#: intermediate
  • Rmarkdown: intermediate
  • HTML: basic
  • PHP: basic
  • MySQL: basic
  • LaTeX: basic
Languages
  • Mandarin Chinese: native
  • English: business proficient
  • French: beginner
Other skills
Academic initiative
Tutored undergraduate students in statistics courses and explained core concepts.
Social initiative
In a book published by Central China Normal University Press (ISBN: 978-7-5622-9159-6, in Mandarin Chinese), I provided feasible reports for policymakers on the inequalities in Primary School Teacher Preparation Program in Hubei Province.
Academic involvement
Peer-reviewed several manuscripts under supervision (JCR Q1 journals).
Ability to work independently
Proposed a new framework named labyrinth from scratch.
Planned the project and designed the workflow of DTSEA.
Ability to work collectively
Analyzed and interpreted proteomics data to identify novel pathways and mechanisms in the EAMG rat model for subsequent experiments.
Contributed to writing two chapters in the grant proposal on the early detection of Alzheimer’s disease using electrochemical sensors, where I provided feasibility analysis based on in silico validation and explored peripheral biomarkers for early-stage detection.
Assisted with technical details, selection of appropriate methods for data analysis, and the interpretation of results.
Being self-taught
Self-learned machine learning and deep learning methods.
Presentation skills
Presented interactive sessions and workshops on effective web searching strategies, machine learning, bioinformatics, and advanced statistical methods to fellow students.
Public speaking
Host and present ideas in regular lab meetings.
Illustrations
Draw clear illustrations and diagrams for academic manuscripts.
Archive management
Manage projects using Git.
Archive collected human participant data using a self-made management platform.