Research Conversation with Operations and Business Analytics PhD Candidate Yuyue Chen

Yuyue Chen, PhD candidate in Operations and Business Analytics

Enter the Research Conversation with Yuyue Chen

How can one make an aggregated buying/selling decision based on recommendations from multiple stock analysts?

Data-driven analytics and decision-making have been essential for numerous applications in our society. To transform the data into a source of rich intelligence and support decision-making, data-driven analytics often need to aggregate intelligence from multiple sources and disaggregate signals into significant constituents. Though many existing approaches perform these two tasks respectively, there are few attempts to study them with a holistic view. My research exploits the intrinsic connections between intelligence aggregation and signal disaggregation by developing novel models to capture and leverage various types of inter-correlations in the data from complex systems.

Although I used specific data sets to implement my research framework, my models for aggregation and disaggregation of information are applicable in different fields such as finance, production management, household utility analysis, marketing and so on. In general, my research models can address the challenges in aggregating intelligence from multiple sources as
well as disaggregating signals for complex systems.

Status: 
PhD Candidate

Status

PhD Candidate

Area of Research

Information aggregation and disaggregation

Hometown

Zhejiang Province, China

Fast Fact

I am an acrylic painter, sketcher and photographer.

PhD Open House Part 1: PhD Overview

PhD Open House Part 2: Q&A Session