Download CV

Contact Information

Education

Research Experience

• Developed a python script to extract PMIDs, Doi addresses and other information from images.

• Added a new function that allows users to upload manual information to improve the accuracy of machine learning model.

• Developed custom shell pipelines to align and reconstruct circular RNA sequences, enabling accurate identification of circRNA breakpoints.

• Designed and evaluated optimized RNA sequence constructs by analyzing CDS and UTR features using AnnotationHub, GenomicRanges, and ensembldb in R.

• Trained and fine-tuned convolutional neural networks to learn circRNA breakpoint patterns and predict stability profiles.

• Calculated and compared molecular structural distances using ChimeraX and in-house computational scripts to support structural interpretation.

• Developed Medjudge, a platform integrating programming with medical education. It features programming challenges in medical contexts, coding competitions, and forums to enhance learning and application.

• Conducted literature reviews to ensure challenges aligned with current clinical practices.

• Deployed the application on Tencent Cloud with the backend running on Django and MySQL, and the frontend built with Vue.js. Since launching the application, Medjudge has been used for 2 consecutive years in the class: C Language in Programming, and by more than 100 students.

• Achieved top awards at the provincial levels in the National College Student Computer Design Competition and received a second-tier national award.

• Developed GeneReader, a web platform integrating APIs from PubMed, ClinVar, and NCBI to retrieve information on genetic variants, summarize it in Chinese, and visualize gene-disease relationships, researcher networks, and related pharmaceutical treatments.

• Built a full-stack system using Flask, Vue.js, Nginx, and Cloudflare, enabling local storage of search results for offline access.

• Designed a user-friendly interface and optimized search terms to deliver results tailored for non-medical users.

• Advocated for GeneReader on campus, assisting students with rare genetic conditions in accessing information about their conditions.

• Investigated the mechanisms of mice recoverable and human unrecoverable pulmonary fibrosis to identify therapeutic targets by analyzing differences between human and mice transcriptomes.

• Utilized Seurat3 for transcriptome normalization, integration, and visualization (PCA, t-SNE/UMAP) on a mouse model of pulmonary fibrosis (i.e., bleomycin injection).

• Conducted cell clustering (using Louvain and CCA) and gene enrichment analysis (clusterProfiler) to identify key pathways in fibrosis.

• Analyzed intercellular communication in the fibrosis environment using CellChat and visualized networks with Cytoscape.

• Investigated prognostic-related alternative splicing events in Non-Small Cell Lung Cancer (NSCLC) patients to uncover biological pathways and regulatory networks.

• Built and compared different machine learning models (XgBoost, Random Forest) to optimize treatment strategies.

• Developed an AI-driven model to estimate the time of death (post-mortem interval, PMI) by analyzing abdominal gas diffusion using CT imaging.

• Processed segmented images in PyCharm to calculate relative abdominal gas diffusion volumes.

• Built a PMI inference model using Naive Bayes and Logistic Regression.

• Secured third Prize at the National College Students’ Basic Medical Science Innovation Research Forum.

Professional Experience

• Held office hours to answer student questions and support understanding of course concepts.

• Graded exams and homework assignments.

• Engaged in an English-taught, month-long online program at Nanyang Technological University, Singapore, collaborating with international peers to enhance understanding of medical and life sciences through lectures, presentations, and team-based projects.

Additional Information

• Led a clay modeling workshop for 139 participants, raising awareness about waste classification and inspiring sustainable practices through creative engagement.

• Worked as a COVID-19 testing volunteer for more than 100 hours.

• Organized events with the Green Action Camp, producing over 100 clay models and enhancing the understanding of environmental conservation.

Skills

• Computer Skills: C, Perl, Python, R, Java, Linux operating system, Shell, SQL, National Computer Rank Examination (Level 3)

• Bioinformatics Analysis: RNA-seq, scRNA-seq, ATAC-seq, scATAC-seq, ChIP-seq, 16s rRNA sequencing

• Languages: Mandarin (Native), Cantonese (beginner), English (Fluent)

• Interests: Piano, dancing, skateboarding, ukulele, skiing, tennis, frisbee, MacBook Pro battery replacement.

Awards

• Awarded the Florence and Lipton Chuang Scholarship at Georgetown University in Spring 2026.

• Third-Class Outstanding Student Scholarship at Nanjing Medical University for the years 2021-2025.

• Project “MedJudge: A Programming Training Platform for Medical Students” awarded Second Prize in the 2024 (11th) National Round of the China College Student Computer Design Competition.

Publications

• Chen Cao, Mengting Shao, Chunman Zuo, Devin Kwok, Lin Liu, Yuli Ge, Zilong Zhang, Feifei Cui, Mingshuai Chen, Rui Fan “RAVAR: a curated repository for rare variant–trait associations”, 13 October 2023, Nucleic Acids Research.

• Tianyao Li, Jingxin Zhang, Jing Guo, Bohong Sun, Yuxuan Han, Hu Xu, Yi Weng, Qinghao Cao, Min Li, Guangyu Zhao, Lin Liu, Xingfa Gao, Lianpan Dai, Daming Wang, Yuhong Cao. “Engineered internal architecture of core-shell lipid nanoparticles promotes efficient mRNA endosomal release”, 30 January 2026, Nature Communications.