Patritsia Stathatou

Patritsia Stathatou

Patritsia Stathatou

Research Scientist II

patricia@gatech.edu

Office Location:
Renewable Bioproducts Institute, Room 423

University, College, and School/Department
Georgia Institute of Technology
Research Focus Areas:
  • Biofuels
  • Biomaterials
  • Clean Water
  • Climate & Environment
  • Water
Additional Research:
Environmental remediation, Renewable energy sources, Lifecycle Impact Assessment & Techno-economic Assessment of Sustainable Technologies, Processes & Products

IRI Connections:
IRI And Role
Renewable Bioproducts > Faculty
Energy > Faculty

Shihao Yang

Shihao Yang

Shihao Yang

Assistant Professor

Dr. Shihao Yang is an assistant professor in the School of Industrial & Systems Engineering at Georgia Tech. Prior to joining Georgia Tech, he was a post-doc in Biomedical Informatics at Harvard Medical School after finishing his PhD in statistics from Harvard University. Dr. Yang’s research focuses on data science for healthcare and physics, with special interest in electronic health records causal inference and dynamic system inverse problems.

shihao.yang@isye.gatech.edu

Website

University, College, and School/Department
Georgia Institute of Technology
Research Focus Areas:
  • Artificial Intelligence (AI)
  • Machine Learning
Additional Research:
Data Mining

IRI Connections:
IRI And Role
Data Engineering and Science > Affiliated Faculty
Data Engineering and Science

Xu Chu

Xu Chu

Xu Chu

Assistant Professor

Xu Chu is an assistant professor in the School of Computer Science at Georgia Tech. He obtained his Ph.D. degree from the University of Waterloo in late 2017, and joined Georgia Tech in Jan 2018. He is a recipient of the JP Morgan Faculty Research Fellow Award, the Microsoft Ph.D. fellowship award, and the David R. Cheriton fellowship award. 

He is broadly interested in data management systems and machine learning. In particular, he focuses on (1) how to leverage advanced machine learning techniques to solve hard and practical data management problems, such as large-scale data integration; and (2) how to build data management systems to tackle the common pain points in practical machine learning, such as the lack of high-quality labeled data.

xu.chu@cc.gatech.edu

Website

  • Computing Profile
    • University, College, and School/Department
    Georgia Institute of Technology
    Research Focus Areas:
    • Machine Learning
    Additional Research:
    Data Mining

    IRI Connections:
    IRI And Role
    Data Engineering and Science > Affiliated Faculty
    Data Engineering and Science
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