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Personal profile

Overview

  Receiving my PhD in 2009, I started my career as a data scientist in cancer research, where the ever-increasing volume and complexity in clinical data calls for novel data analytical approaches to meet the unmet need for personalized precision therapy. I worked as a lecturer in biomarker statistics in the University of Manchester from 2014-2018, before I joined the newly established Manchester Centre for Cancer Biomarker Sciences as the lead biostatistician.      

  My research focused on developing and applying novel statistical methods to identify innovative biomarkers that help deliver personalized therapy in cancer diagnosis and treatment. My current researches include: (1) developing novel Bayesian methods for joint modelling of longitudinal and time-to-event data, to identify biomarkers that predict treatment response and resistance (2) using machine learning approaches to predict cancer treatment outcome via single cell sequencing data (3) designing clinical trials and translational biomarker studies on novel cancer drugs.

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

Research Beacons, Institutes and Platforms

  • Digital Futures
  • Institute for Data Science and AI
  • Manchester Cancer Research Centre

Keywords

  • Biostatistics
  • Bioinformatics

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Collaborations and top research areas from the last five years

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