CV

Short intro.

Research

Interest

- Crowdsourcing & Human Computation

(Quality Assurance, Task Routing, Budget Optimality)

- Machine Learning and Data Mining for Big Data Analysis

(Time-series model, Prediction model, Evaluation)

- Information Retrieval & Web Search

(Search Engine Evaluation, Personalized Search, Reputation, Ranking)

- Strong mathematical and statistical academic backgrounds (11+ years) with industry experiences (5+ years)

- A keen intellect on algorithm design and practical implementation of Computer and

Information Science (Data Mining, and Machine Learning, Information Retrieval)

- Comprehensive knowledge and implementation experience on Distributed Systems and Cloud Computing

Work

experience

Graduate Research Assistant

2010 - present / University of Texas at Austin

- Machine learning for quality control (spam worker filtering, consensus aggregation) on crowdsourced relevance judgments.

- IR evaluation methods with Crowdsourcing.

- Trust modeling for social data retrieval.

Languages & tools

Java, C, C++, Python, Ruby

R, Matlab, SAS, Mathmatica

Hadoop, Mahout, MongDB

Research Internship

June, 2014 - Aug, 2014 /Microsoft Research

- Large-scale search engine evaluation

- Crowdwork analysis (measurement, prediction)

Data Scientist (Research Intern)

May, 2013 - Aug, 2013 / Indeed

- Prediction model design and implementation for job recommendation

- Feature Engineering

- Classification algorithm evaluation

Skills

Statistical Machine Learning

Computational Finance

Cloud Computing

Semantic Web

2010 - present

Graduate Research Intern

May, 2012 - Aug, 2012 / Intelius Inc.

2010 - present

- Quality Control on crowdsourcing for Natural Language Processing & People Search data generation.

Software Development Intern

May, 2011 - Aug, 2011 / Microsoft (Bing Social)

- Machine Learning for user generated content (facebook / twitter) retrieval, Analysis on various machine learning algorithms (classification - SVM, Neural Network, Regression, Decision Tree, etc).

Researcher

Feb, 2006 - May, 2009 / Korea Telecom Research

- Cloud computing for content-delivery, large scale Media service.

- Machine Learning for knowledge-base construction (ontology, linked-data inference).

- Analysis on social Q&A service (Yahoo Answers!) for ontology construction

Education

University of Texas at Austin,

PhD Candidate in School of Information

2009 - present

Research on Crowdsourcing, Information Retrieval, Machine Learning

(transferred from computer engineering dept.)

Seoul National University,

MS in Computer Science

Mar, 2004 - Feb, 2006

Laboratory of Distributed Computing System. Research on distributed computing, collaborative computing, scientific computing

Korea University,

BS in Computer Science

Mar, 2000 - Aug, 2003 (Early Graduation)

Summa Cum Laude, Best Honors Student