CV
English CV of Nan Hinna He.
Contact Information
| Name | Nan Hinna He |
| Professional Title | Incoming direct-entry PhD student, School of Life Sciences, Tsinghua University |
| hinna01@163.com |
Professional Summary
Bioinformatics student working on biomedical software, multi-omics analysis, epidemiological modeling, and AI-assisted biological discovery.
Experience
-
2024 - Present Guangzhou, China
Undergraduate Research Intern
YuLab, Department of Bioinformatics, Southern Medical University
- Led a national-level Undergraduate Innovation and Entrepreneurship Training Program project on biomedical knowledge mining for metabolite-disease associations.
- Built metabolite analysis workflows covering target prediction, co-abundance analysis, structural similarity networks, and disease association interpretation; helped develop MeDAM as an online analysis tool and R package.
- Developed TCMDATA, an R package for target-oriented network pharmacology analysis and AI-assisted interpretation in traditional Chinese medicine.
- Contributed to R packages and analysis tools including aplotExtra, sclet, and UKBAnalytica.
-
2024 - Present Guangzhou, China
Undergraduate Research Intern
Prof. Feiying He's Group, Southern Medical University
- Built multi-time-window prediction models for chronic non-obstructive COPD using UK Biobank plasma proteomics, sequential forward selection, and LightGBM.
- Developed polygenic and polysocial risk score models for post-type 2 diabetes dementia using UK Biobank data, XGBoost, and SHAP.
- Contributed to a Guangdong Natural Science Foundation proposal as a student researcher.
-
2025 - Present Guangzhou, China
Collaborative Researcher
Department of Cardiology, Guangdong Provincial People's Hospital
- Studied metabolomic mediation of associations between air pollutants and arrhythmia subtypes using UK Biobank metabolomics data.
-
2025 - 2025 Shanghai, China
Research Intern
Bioinformatics and Artificial Intelligence Lab, Tongji University
- Worked on NuSPIRe, a spatial transcriptomics foundation model based on DAPI-stained nuclei images and transformer-based image representations.
Education
-
2026 - Expected Beijing, China
Incoming Direct-entry PhD
Tsinghua University
School of Life Sciences
-
2022 - 2026 Guangzhou, China
BSc
Southern Medical University
Bioinformatics, School of Basic Medical Sciences
- Average score 91; CET-6 587.
- National Scholarship recipient, top 1%.
- First-Class Scholarship and Outstanding Student, each awarded three times.
Publications
-
2025 aplot: Simplifying the creation of complex graphs to visualize associations across diverse data types
The Innovation
Co-first author.
-
2025 lncRNA-ZFAS1, an Emerging Gate-Keeper in DNA Damage-Dependent Transcriptional Regulation
Advanced Science
Co-first author.
-
2025 Revisiting successful aging through a machine learning approach to quantifying the influence of chronic diseases
Scientific Reports
First author.
-
2026 Polygenic and polysocial risk scores in post-type 2 diabetes dementia: Risk stratification and predictive modeling in the UK Biobank cohort
Journal of Alzheimer's Disease
First author.
-
2026 Metabolomic mediation of the association between air pollution and arrhythmia subtypes in UK Biobank participants
Nature Communications
Under review; co-first author.
-
2026 TCMDATA: an integrated R package for target-oriented network pharmacology analysis and AI-assisted interpretation in traditional Chinese medicine
Computational and Structural Biotechnology Journal
Under review; first author.
Projects
-
TCMDATA
An R package for comprehensive network pharmacology analysis and visualization in traditional Chinese medicine.
- Integrated multi-source traditional Chinese medicine, compound, and target data.
- Implemented protein interaction network topology, clustering, GO prior knowledge, machine learning, and LLM-agent-assisted interpretation.
-
MeDAM
An online analysis tool and R package for mining metabolite-disease associations from biomedical knowledge.
- Combines target prediction, co-abundance analysis, structural similarity networks, and association interpretation for unknown metabolite function analysis.
-
UKBAnalytica
An R package for scalable phenotyping and reproducible epidemiological analysis within the UK Biobank Research Analysis Platform.
-
sclet
An R package for integrated single-cell analysis.
Honors and Awards
-
2025 Meritorious Winner, Mathematical Contest in Modeling
COMAP
-
2024 First Prize, Guangdong Province, Contemporary Undergraduate Mathematical Contest in Modeling
-
2024 National Scholarship for Undergraduate Students
Ministry of Education of China
-
2023 First Prize, Guangdong Union Cup Undergraduate English Writing Contest
Guangdong Union Cup
-
2023 Second Prize, Guangdong Province, Contemporary Undergraduate Mathematical Contest in Modeling
-
2023 Third Prize, Guangdong Province, Chinese Mathematics Competition for College Students
Skills
Programming and Software: R, Python, C, Git, GitHub, R package development
Computational Biology: Bioinformatics, multi-omics analysis, single-cell analysis, spatial transcriptomics, network pharmacology
Data Science: Epidemiological modeling, UK Biobank, machine learning, LightGBM, XGBoost, SHAP
Leadership and Activities
- Founder, Mind-Body Medicine Research Association, Southern Medical University. Founded a university-level student research society focused on bioinformatics, epidemiological statistics, computer-aided drug design, Mendelian randomization, and database construction and mining.
- Founder, BioClubSMU.
- Member, Jingshui Liushen Track and Field Club, Southern Medical University; placed in the university 3000 m final and completed multiple half marathons.