Shengyuan Wang, Ph.D.

Postdoctoral Research Associate

Department of Genome Sciences

School of Medicine

University of Virginia

Charlottesville, VA

michaelwang1335@gmail.com | (919) 720-3231

Summary

Computational biologist and data scientist with 10 years of research experience analyzing high-dimensional biological datasets to study gene regulation, disease mechanisms, biomarker-relevant biology, and clinical outcome associations. Strong background in statistical modeling, data mining, machine learning, multi-omics integration, NGS data analysis, functional genomics, and cancer genomics. Experienced in developing reproducible analytical workflows and scalable data resources using Python, R, Linux, Git, SQL, Nextflow, Docker, CI/CD, AWS, and HPC environments. Skilled at translating complex biological data into interpretable results, testable hypotheses, clear visualizations, and actionable scientific insights to support biomarker discovery and collaborative research.

Areas of Expertise

Scientific Domains: Computational Biology, Bioinformatics, Functional and Cancer Genomics, Epigenomics, Transcriptomics, Transcriptional Regulation, Biomarker Discovery, Clinical Outcome Association Analysis

Computational Analysis: NGS Data Analysis, Multi-omics Integration, Statistical Modeling, Machine Learning, Data Mining, High-dimensional Biological Data Analysis, Differential Analysis, Regression Analysis, Survival Analysis, Data Visualization and Interpretation

Technical Skills: Python, R, Bash, Linux, Git, SQL, Nextflow, nf-core, Docker, CI/CD, AWS, HPC

Education and Training

2022-Present
Postdoc Research Associate, Department of Genome Sciences, University of Virginia
2016-2022
Ph.D., Bioinformatics and Computational Biology, George Mason University
2014-2016
M.S., Pharmaceutical Sciences, North Carolina Central University
2009-2013
B.S., Biotechnology, China Agricultural University

Publications

Presentations

Oral Presentations

Poster Presentations

Scholarships, Awards and Honors

2024
Emerging Scholar Recipient, 5th Annual Emerging Scholars in Genome Sciences Symposium, University of Virginia
2024
Cancer Center Trainee Fellowship, University of Virginia
2024
Cancer Center Trainee Travel Funds, University of Virginia
2021
Outstanding Oral Presentation, Student Research Day, George Mason University
2019
Graduate Student Outreach Award, George Mason University
2016-2021
Presidential Scholarship, George Mason University
2016
First Place in Poster Presentation in Graduate Research Symposium, North Carolina Central University
2015
Outstanding Graduate Research in Pharmaceutical Sciences, North Carolina Central University
2014-2016
Graduate Research Assistantship, North Carolina Central University

Journal Reviews

Reviewer: Cancer Research, Nucleic Acid Research

Ad hoc reviewer: Nature Cancer, Bioinformatics, Genome Biology

Mentoring Experience

2023-Present
Mentor of two undergraduate students, University of Virginia, Charlottesville, VA
2021
Instructor, Aspiring Scientists Summer Internship Program, George Mason University, Manassas, VA
2019
Instructor, International Society for Computational Biology (ISCB) Youth Bioinformatics Symposium, George Mason University, Manassas, VA

Certificates

2020
AWS Fundamentals: Going Cloud-Native authorized by Amazon Web Services, Coursera
2020
Genomic Data Science, an 8-course specialization by Johns Hopkins University, Coursera
2019
Deep Learning, a 5-course specialization by deeplearning.ai, Coursera
2019
Machine Learning by Stanford University, Coursera