Please contact me if you would like a copy of my CV in more detail.
Yinchun Su
Email: [email protected]
Website: https://www.yinchun.su
Phone: (hide for visitors)
GitHub: randef1ned
Location: Harbin, China
ORCID: 0000-0002-7503-3128
Employment
Research assistant in Harbin Medical University
Harbin, China
Harbin Medical University
Jul 2024 – Present
Education
MSc in Neurobiology
Harbin, 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, 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 human memory inspired drug prioritization system
Yinchun Su, Jiashuo Wu, Xilong Zhao, Jiyin Lai, Yue Hao, Bingyue Pan, Ji Li, Qingfei Kong, and Junwei Han.
iPRISM: Intelligent Predicting Response to cancer Immunotherapy through Systematic Modeling
Yinchun Su, Qian Wang, Siyuan Li, Bingyue Pan, Jiyin Lai, Guangyou Wang, Qingfei Kong, and Junwei Han.
Journal: Advanced Intelligent Systems.
2025 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.
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.
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.
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
Research experience
Research in bioinformatics
Supervisor: Prof. Junwei Han
Nov 2021 – Present
- Planned the project and designed the workflow of DTSEA. It is a modified version of GSEA that recognizes drug targets as pathways in the drug repurposing field.
- Proposed a new framework named labyrinth from scratch, which may be a temporary solution to current drug repurposing algorithms to align with medical standards and prior indications of the results. Gathered and processed more than 100 GB of knowledge data for this project.
Research in neurobiology
Supervisor: Prof. Qingfei Kong
Sep 2021 – Present
Analyzed and interpreted proteomics data to identify novel pathways and mechanisms in the experimental autoimmune myasthenia gravis rat model. Performed bioinformatics analysis to identify potential pathogenesis mechanisms.
Assisted with technical details and the selection of appropriate methods for data analysis. Assisted with the interpretation of the preliminary results. Reviewed and provided feedback.
Undergraduate research assistant
Supervisor: Dr. Shiqing Fan & Xianhua Wu
Mar 2019 – Jun 2020
- Documented and interpreted data from completed participant surveys using Nvivo, SPSS, and Python. Collected and documented data using a self-made management platform.
- Provided feasible reports to policymakers in a book published by Central China Normal University Press (Mandarin Chinese, ISBN: 978-7-5622-9159-6, CIP No. (2020) 194453).
- Made systematic literature reviews using CiteSpace and Web of Science.
- Performed text-mining and wrote the experiment program to infer the implicit mechanism under explicit human behaviors.
- Programmed several cognitive assessments using PsychoPy.
Other experience
Selected academic experience
- Tutored undergraduate students in statistics courses informally and explainedcore concepts.
- Presented interactive sessions on machine learning, bioinformatics, and advanced statistical methods to fellow students.
- Peer-reviewed several manuscripts under supervision (JCR Q1 journals).
- Contributed to writing two chapters in the grant proposal submitted to the National Natural Science Foundation of China (NSFC) on early detection of Alzheimer’s disease using electrochemical sensors. Provided feasibility analysis based on in silico validation and explored peripheral blood coagulation biomarkers for early-stage Alzheimer’s detection.
Open-source contributions
Skills
Office
Proficient in: Microsoft Office, LaTeX, and Adobe Illustrator.
Familiar with: Adobe Photoshop.
Programming
Proficient in: R, Python, and PHP. Mainly working on Windows and Linux.
Familiar with: JavaScript, C#, C++, and SQL.
Also use Git for version control.
Research skills
Design research projects from scratch, provide feedback for others, and engage in critical thinking.
GraphPad Prism, SPSS, Zotero, Gephi, Cytospace, and Citespace.
Data retrieval and management; internet searching; server management.
Cognitive evaluation and assessment.
Languages
Native language: Mandarin Chinese.
Other language: English (business fluent, self-assessed B2), French (beginner level).