Hi, I am Haichao Wang, I am a computational biologist with wet lab skills. 

I've completed my PhD training (viva passed) at Cancer Research UK Cambridge Institute (CRUK-CI), University of Cambridge. During PhD, I worked on analysing plasma cell-free DNA whole-genome sequencing data and developing machine-learning models for cancer detection.

I am experienced in analysing high-throughput molecular sequencing data. I am interested in building multi-modal machine-learning tools with real-world impacts (e.g., in clinical settings).

I am an R developer and a data visualisation enthusiast. Keep in touch.



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 

Bergamo, Italy, 2022

Fig.1 ML Phylogenetic tree of global EV-D68 strains based on VP1 nucleotide sequences (PMID: 31354952)

Fig.2 Temperature and relative humidity in Hong Kong from 2014-2016 and 30 years of historical data.

July 2017

Great News! I won  EAACI 2017 Best Abstract Prize!(~8000 attendees) (Abstract NO.0837)    Link

Helsinki, Finland, 2017