Dayuan Wang

Ph.D. Candidate in Biostatistics.

University of Florida, Gainesville, FL

Email: dayuan.wang(AT)ufl.edu

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About Me

I am a Ph.D. candidate in Biostatistics at the University of Florida (Aug 2022 - Dec 2026). My research focuses on statistical methodology and deep learning for genetics, with an emphasis on developing robust, interpretable approaches for high-dimensional sequencing and multi-omics data. I am also a Doctorate Research Assistant at the Sepsis and Critical Illness Research Center at the University of Florida, where I build reproducible bioinformatics pipelines and analytical workflows to support translational research in critical illness.

Professional Experience

06/2026-08/2026: Oncology Translational Bioinformatics Intern, Bristol Myers Squibb (IPS, Translational Oncology), Cambridge, MA. I applied deep learning to clinical trial data for AI-powered multi-modal biomarker discovery in oncology treatment response, and integrated peripheral biomarkers and clinical variables into interpretable predictive models to support translational decisions.
08/2022-present: Doctorate Research Assistant, Sepsis and Critical Illness Research Center, University of Florida, Gainesville, FL. I develop reproducible bioinformatics pipelines and statistical workflows for scRNA-seq, RNA-seq, and multi-omics immune profiling in translational critical illness research.
06/2019-02/2020: Health Data Specialist, New Jersey Department of Health, Trenton, NJ. I analyzed real-world public health data using GLMs, risk prediction, geospatial visualization, and surveillance reporting for Hepatitis C, HIV, and COVID-19 response.

Research Interests

Statistics: Hypothesis testing, high-dimensional data, bootstrap and resampling, causal inference, GLMs, mixed-effects and longitudinal models, survival analysis, Bayesian methods, clinical trial design, power analysis, missing-data methods, multiplicity adjustment, experimental design (DOE), and time-series analysis.
ML & Data Science: Deep learning, neural networks, transformers, penalized regression, dimension reduction, supervised and unsupervised learning, ensemble methods, feature engineering, and model interpretability (SHAP).
Omics & Bioinformatics: NGS, scRNA-seq, CITE-seq, DNA-seq, spatial transcriptomics, multi-omics integration, variant and CNV detection, Seurat/Scanpy, biomarker discovery, and translational research in oncology and immunology.
AI & Automation: Agentic AI workflows (Claude Code, Codex), vibe coding, multi-agent systems, Model Context Protocol (MCP), skills and context management, LLM-assisted analysis, workflow automation, and Google Cloud AI.
Languages & Tools: R, Python, PyTorch, TensorFlow, SAS, SQL, Bash, Jupyter, Linux, HPC, cloud computing (AWS, GCP), Docker, renv, conda, GitHub, Markdown, Quarto, and LaTeX.

News

08/2026: I completed my summer internship in Oncology Translational Bioinformatics at Bristol Myers Squibb in Cambridge, MA, working on AI-powered multi-modal biomarker discovery for oncology treatment response.
04/2026: I accepted an incoming Summer 2026 Oncology Translational Bioinformatics Internship at Bristol Myers Squibb in Cambridge, MA, where I will work on AI-powered multi-modal biomarker discovery for oncology treatment response.
02/2026: I successfully passed my Ph.D. proposal. 🎉
09/2025: I presented at the Spatial Transcriptomics for Us (ST4US) Virtual Journal Club hosted by the UF Health Cancer Center's Biostatistics and Computational Biology Shared Resource. My presentation was titled: "Spatial RNA and DNA Sequencing with Slide-seq: Insights into Copy Number Alterations Detection and Cancer."
08/2025: I presented at the Joint Statistical Meetings (JSM) in Nashville, TN. My talk was titled: "CN-RNN: a Supervised Learning Framework for Copy Number Variation Detection with Sequencing Data".
06/2025: I presented a poster at the SHOCK Conference in Boston, MA, on "Sc-RNA Seq Identifies Age as Effect Modifier of Lymphocytes' Transcriptomic Changes in Murine Sepsis".

Latest Posts

09/2026: Submitting Data to NCBI GEO: A Step-by-Step TutorialSource code and corrections on GitHub

All articles

Honors and Awards

2024-2025: PhD Fellowship in Artificial Intelligence, University of Florida, FL.
08/2023: Department Achievement Award and Preliminary Exam Award, University of Florida, FL.
11/2019: Student Research Travel Scholarship, Rutgers University, NJ.
2014-2018: Outstanding Undergraduate Student Scholarship, Peking University, China.
07/2014: Gold Medal, 25th International Biology Olympiad (IBO), Bali, Indonesia.