Experienced bioinformatics graduate student with six years of diverse experience in

biomedical fields, spanning from cancer-related multi-omics data to human genome research. Acquired a solid foundation in medical and data analysis through undergraduate studies, enriched by practical work experience from internships, and enhanced by exposure to cutting-edge genome research advancements during graduate studies.

Work History

2021-10 -

Current

Graduate Student Researcher

Dr. Sofie Salama, UCSC Genomics Institute, California

• Developed pipeline for highly contiguous de novo diploid assembly of repetitive region 1q21.1 using Nanopore sequencing data.

• Created custom program for polishing and evaluating assembly, benchmarking results with Human Pangenome Reference Consortium (HPRC)

• Demonstrated the viability of ONT-only data for assembling complex genomic regions like 1q21.1, successfully identifying large segmental duplications, paralog losses, and inversions not discernible with mapping-based method (ONT: Oxford Nanopore Technologies)

2021-01 -

2021-04

Bioinformatics Intern

Dr. Yue Jiang, Cipher Gene, Suzhou

• Developed expertise in analyzing diverse types of sequencing data, including RNA-seq, single-cell data, and ChIP-seq.

• Batch processed patient RNA-seq data, integrating top- performing methods to identify candidate fusion transcripts.

• Visualized and presented results, employing clear and engaging graphics to effectively communicate complex findings to both technical and non-technical people 2020-08 -

2020-11

Data Analyst Intern

Dr. Guan Luo, Chinese Academy of Sciences, Beijing

• Integrated and preprocessed large-scale patient data, including demographic information, medical history, and treatment records, ensuring data quality and consistency.

• Developed and fine-tuned multiple machine learning models, including regression, decision trees, and ensemble methods, achieving 87% accuracy in predicting level of response to various treatment options.

• Conducted rigorous model evaluation and validation using cross-validation techniques, ensuring robustness and generalizability of predictions.

Education

2021-09 -

2023-06

Master of Science: Bioinformatics

University of Santa Cruz - Santa Cruz, California, CA GPA: 3.91

2017-09 -

2021-06

Bachelor of Engineering: Biomedical Engineering

Harbin Medical University - China

• Thesis: Immune-Related CpG Methylation Sites and Their Potential Prognostic Implications in Colorectal Cancer (CRC) Contact

Address

Santa Cruz, CA 95060

Phone

831-***-****

E-mail

adxiot@r.postjobfree.com

LinkedIn

https://www.linkedin.com/in/wen

yu-liang-4b4b83220/

Github

https://github.com/WenyuLiang

Medium

https://medium.com/@lwy730050

619

Programming Languages

Python

R

Linux

C

Skills

Deep learning and machine

learning

AWS and Docker

Data visualization

Related Coursework

Intro Comp Genomics

Adv Comp Genomics

Evol Genomics

Comp Sys and C Prog

Applied Bayesian

Machine Learning

Applied RNA Bioinformatics

.

Wenyu Liang

Bioinformatician

Contact this candidate