Xin WANG

Dr. Xin WANG, 王鑫

(Former)

Accepting PhD Students

Calculated based on number of publications stored in Pure and citations from Scopus
20082024

Research activity per year

Personal profile

Author IDs

ORCID iD: 0000-0002-5122-2418
Scopus Author ID: 56025128400
Google Scholar Profile: KJSLMFAAAAAJ

Impact

Biography

Dr Wang is a computational biologist. He was trained as a computer scientist initially in China. Impressed by the beauty of Life Sciences and importance of cancer research, he decided to dedicate to the interdisciplinary field of computational biology. Dr Wang pursued his PhD at the University of Cambridge Department of Oncology and Cancer Research UK Cambridge Institute, where his research was concerned with how to infer intracellular signalling pathways from phenotyping screens. In collaboration with experimental oncologists, he also identified three molecularly distinct colon cancer subtypes using an unsupervised classification approach. From 2013 to 2015, Dr Wang did his postdoc training at Harvard Medical School Department of Biomedical Informatics, where he learned advanced techniques in next-generation sequencing data analysis.

Position(s) Available

Openings

We always welcome outsanding bioinformatics students to join our lab.
Please email Dr.Xin WANG your CV directly.

Joint PhD Program with Cornell University

Qualified students can be involved in the Interdisciplinary PhD Program between City University of Hong Kong and Cornell Univeristy School of Veterinary Medicine. Detailed information of the joint program can be found here.

PhD Program in BMS and Hong Kong PhD FellowshipPerspective students should also note the deadlines for application to CityU, and please do check the Hong Kong fellowship scheme as well:

Research Interests/Areas

  • Cancer genomics
  • Prognostic and predictive biomarkers
  • Regulatory networks
  • Therapeutic targets
  • Bioinformatic tools

Dr Wang's major research interest is to better understand the biology underlying cancer using quantitative approaches. Especially, he has more passion in projects that bridge basic biological studies and clinical research. He has rich experience in integrative analysis of multilevel (epi)genomic data and clinical outcomes for dissecting cancer heterogeneity. Currently, his research consists of four parts:

  1. identifying and characterizing molecularly distinct cancer subtypes that are in relation to clinical responses;
  2. identifying prognostic and predictive cancer biomarkers that are more accessible in the clinic;
  3. identifying potential therapeutic targets using network-based approaches;
  4. developing bioconductor packages and web tools for analyzing next-generation sequencing data (SPP2), high-throughput screens (HTSanalyzeR), etc.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

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Collaborations from the last five years

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