• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
20022021

Research activity per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Research Overview

Gao’s research lies at the intersection between computer science and biology. His work has two main focuses: 1) developing theory and methodology in the fields of machine learning and algorithms; and 2) solving key open problems in biological and medical fields through building computational models, developing machine-learning techniques, and designing effective and efficient algorithms. In particular, he aims to solve problems that occur along the path from protein amino acid sequences to their three-dimensional structures and functions that ultimately lead to their undesirable expression in complex biological networks.

Key Research Areas

Functional Biology, Computational Bioscience, Computer Science, Machine Learning

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 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities

Education

Computer Science, Ph.D., University of Waterloo

2009

Award Date: Jan 1 2009

Computer Science, B.S., Tsinghua University

2004

Award Date: Jan 1 2004

Fingerprint

Dive into the research topics where Xin Gao is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Network

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