Summary
Overview
Work History
Education
Skills
Software
Timeline
Generic

Wenyu Liang

Bioinformatician
Santa Cruz,CA

Summary

Applied Bayesian Machine Learning 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.

Overview

3
3
years of professional experience
14
14
years of post-secondary education

Work History

Graduate Student Researcher

Dr. Sofie Salama
Santa Cruz, CA
10.2021 - Current
  • Conducted extensive SNP analysis and structural variation analysis in the 1q21.1 region
  • Developed a pipeline for highly contiguous de novo dual assembly of the repetitive region 1q21.1 using Nanopore sequencing data
  • Created a custom program for polishing and evaluating the assembly, benchmarking the results with the Human Pangenome Reference Consortium (HPRC)

Bioinformatics Intern

Dr. Yue Jiang
10.2020 - 12.2020
  • Cultivating proficiency 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 the results, employing clear and engaging graphics to effectively communicate complex findings to both technical and non-technical people

Data Analyst Intern

Dr. Guan Luo
Beijing
09.2020 - 11.2020
  • 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, to predict the level of response to various treatment options.
  • Conducted rigorous model evaluation and validation using cross-validation techniques, ensuring the robustness and generalizability of the predictions.

Education

Bachelor of Engineering - Biomedical Engineering

Harbin Medical University
09.2017 - 6 2021

Master of Science - Bioinformatics

University of Santa Cruz
01.2009 - Current

Skills

Python, R, Linux, C, MySQL

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Software

Intro Comp Genomics

Adv Comp Genomics

Evol Genomics

Comp Sys and C Prog

Applied Bayesian

Machine Learning

Applied RNA Bioinformatics

Timeline

Graduate Student Researcher

Dr. Sofie Salama
10.2021 - Current

Bioinformatics Intern

Dr. Yue Jiang
10.2020 - 12.2020

Data Analyst Intern

Dr. Guan Luo
09.2020 - 11.2020

Bachelor of Engineering - Biomedical Engineering

Harbin Medical University
09.2017 - 6 2021

Master of Science - Bioinformatics

University of Santa Cruz
01.2009 - Current
Wenyu LiangBioinformatician