Haichao Wang

Email: wanghaichao2014@gmail.comGitHub: github.com/hw538 X/Twitter: @haichao_wang20ORCID: 0000-0002-7648-916XWoS: JXN-0106-2024

Hi, I am Haichao Wang, I am a computational biologist.

I completed my PhD study at Cancer Research UK Cambridge Institute (CRUK-CI), University of Cambridge. I am now a post-doc researcher at Barts Cancer Institute, Queen Mary University of London.

I work on cell-free DNA whole-genome sequencing data and develop machine-learning models for cancer detection. I am interested in building multi-modal machine-learning tools across various biochemical modalities with real-world impacts.

I am an R developer and a data visualisation enthusiast.

May 2025

Our paper on robust fragmentomic feature extraction has been online!

Wang, H., Mennea, P.D., Chan, Y.K.E., Cheng, Z. et al. A standardized framework for robust fragmentomic feature extraction from cell-free DNA sequencing data. Genome Biol 26, 141 (2025). https://doi.org/10.1186/s13059-025-03607-5

Some discussions in the research community:

By Ming "Tommy" Tang (44.1K followers): LinkedIn post

By Denis Odinokov (4.4K followers): LinkedIn post

By Dmitry Shcherbo: LinkedIn post

By Maria Neofytou: LinkedIn post

Study overview.

Mar 2024

I attended CNAPS2024 in Graz, Austria

I gave a poster talk about cfDNA whole-genome sequencing data analytical impacts and cfDNAPro R package - a one-stop solution for cfDNA fragmentomics. Stay updated about its coming paper manuscript.

Graz, Austria, 2024. From left to right: Davina, Haichao, Dennis, Nitzan and Murtaza.

July 2023

I attended ECCB/ISMB in Lyon, Frace

I gave poster and oral presentation about cfDNAPro and data analysis standardization of cfDNA sequencing data.

Lyon, France, 2023

May 2022

My cfDNAPro package is invited for an oral talk at EACR Liquid Biopsies Conference

This meeting will take place on 24-26 May 2022 in Bergamo, Italy, link to the schedule: https://www.eacr.org/conference/liquidbiopsies2022/scientific-programme , my talk will be at 9:30 am (local time, GMT+2), stay tuned!

About cfDNAPro R package:

https://github.com/hw538/cfDNAPro

https://www.bioconductor.org/packages/release/bioc/html/cfDNAPro.html