My research interest lies at the intersection of Data Mining/Machine learning and Economics. I’m also vastly interested in Database Systems, NLP, Social Networks & Information Retrieval. In the Business/Economics area, I have broad knowledge in Digital MarketingFinance, Game Theory and Optimization. Here are some undergraduate research projects I’ve worked on, click on titles for more information:

1. Cost of Annoying Advertisements:

Analyzing cost of bad online advertisement by conducting empirical studies via Amazon MTurk

Keywords: Information Systems, Digital Advertising, Data Mining, Consumer Behavior, Crowdsourcing

Supervisor: Dr. Vilma Todri, Department of Information Systems & Operation Management

2. PIVET: A Phenotype Validation Tool:

Validate clinical phenotype candidates using online medical literature

Keywords: Text Mining, Machine Learning, NLP, Computational Phenotyping, Data Analytics

Supervisor: Dr. Joyce Ho, Department of Math/Computer Science

Working Paper(second author, draft):  “PIVET: A Scaled Phenotype Evidence Generation Framework using Online Medical Literature”(with J. Henderson, J. Ho, B. Wallace and J. Ghosh) Journal of Medical Internet Research(JMIR), 2017.

3. Stock Performance & Job-Market Analysis:

Examining the correlation between company stock returns and employee satisfaction

keywords: Data Mining, Financial Economics, Job Matching, Information Economics

Supervisor: Dr. Jeong-Ho Kim, Department of Economics


4. Returns of Global Sin Stocks:

Analyzing abnormal returns in sin stocks around the world

Keyword: Financial Economics

(New project with Dr. Jeong-Ho Kim and Dr. Jue Ren starting Oct, 2017)

Undergraduate Research Program I Participated in:

SIRE Program:

Scholarly Inquiry and Research at Emory