Personal profile

Key Research Interests

  • Unsupervised machine learning
  • Statistical prediction models
  • Prostate cancer sub-types
  • Software development 

Academic Background

My current project focuses on identifying the sub-types of prostate cancer using unsupervised machine learning algorithms with support from the Prostate Cancer Research Center.

Previously, I worked in the University of Bristol in collaboration with the pharmaceutical company, GlaxoSmithKline, to identify the drug targets for autoimmune diseases. Before that, my work had focused on automated parsing of unstructured and semi-structured text (especially, postal addresses) in Goldsmiths, University of London, which was also an industrial collaboration with the e-invoicing company, Tungsten Network. My first postdoctoral project in the Ulster University had given me an insight into personalised medicine in terms of the computational and data storage challenges.

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

Education/Academic qualification

Doctor of Philosophy, King's College London

Award Date: 1 Feb 2015

Master of Science, St. Petersburg State University

Award Date: 30 Jun 2010

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or