Hwang Laboratory
Hwang Lab
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People

Lab Members

 
 

Tae Hyun Hwang

Principal Investigator

Tae Hyun Hwang

My research interest is developing novel machine learning and data mining algorithms to ultimately help patients with the lethal disease. I currently serve as a bioinformatics core director for  NASA Specialized Centers of Research (NSCOR) to identify biological markers for susceptibility to cancer and early disease detection and countermeasures to reduce risk from exposure to space radiation. I also served as a Data Analysis Core co-director to lead a team of bioinformatician for University of Texas Southwestern Kidney Cancer Specialized Programs of Research Excellence (SPORE) grant.  My contributions for those projects are for developing machine learning, data mining, bioinformatics and statistical methodology to understand complex human disease phenotype and genotype association.  

Education

UNIVERSITY OF MINNESOTA TWIN CITIES
Ph.D., Computer Science, 2011

INHA UNIVERSITY, KOREA
B.E., Computer Science, 2004

 

 
 
 

 
 
 

Changjin Hong

Project Staff

Changjin Hong

I am interested in developing novel algorithms and high-quality informatics pipelines to analyze multi-omic, high-throughput data to make a high impact in aiding disease diagnosis and therapy. My current research projects include:

  • Alternative polyadenylation associated with diseases

  • Prioritizing disease-causing genes with patient phenotypes

  • Analysis of the gut microbiome

Education

UNIVERSITY OF MINNESOTA TWIN CITIES
Ph.D., Electrical Engineering, 2008

HANYANG UNIVERSITY, KOREA
B.S., Electrical and Computer Engineering, 1999

 
 
 

 
 
 

Chihyun Park

POST-DOC

Chihyun Park

I am interested in developing algorithm and analyzing various types of data to solve the problems in molecular biology and medicine.
Specifically, my research interests include network analysis based on multi-omics integration, developing machine learning/data mining based prediction model with omics and EMR data, and various high-throughput data (WGS/WES/RNA-seq) analysis. Through my research, I hope that I will be able to contribute to understanding disease mechanism and treatment of disease. 

Education

YONSEI UNIVERSITY, KOREA
Ph.D., Computer Sciences, Feb. 2013
M.S., Computer Sciences, Feb. 2009

HONGIK UNIVERSITY, KOREA
B.S., Computer Engineering, Feb. 2007

 
 
 
 

 

Hongming Xu

Post-doc

Hongming Xu

My research interests mainly include medical image analysis, computer vision and machine learning related biomedical applications.

Education

UNIVERSITY OF ALBERTA, CANADA
Ph.D., Electrical and Computer Engineering, July, 2017

NORTHWEST A&F UNIVERSITY, CHINA
M.S., Computer Science, July, 2012
B.S., Computer Science, July, 2009

 
 
 
 

 
 
 

Jean René Clemenceau

Staff

Jean René Clemenceau

I am interested in harnessing data mining and machine learning techniques to exploit the integration of orthogonal datasets (particularly Omic, EHR, and histology data) in order to improve clinical decision-making. 

Education

BAYLOR UNIVERSITY
B.S., Informatics, 2013

 
 
 

 
 
 

Jeonghyun Kang

Visiting Researcher

Jeonghyun Kang

As a colorectal surgeon, my research interest is improving colorectal cancer patients' survival via various tools developed in computer science.

Education

YONSEI UNIVERSITY COLLEGE OF MEDICINE, KOREA
Ph.D., Medicine, 2018
M.S., Medicine, 2005
B.S., Medicine, 2001

 
 
 

 
 
 

Sunho Park

Post-Doc

Sunho Park

My research interests are in machine learning algorithms with applications in biomedical areas.

Education

POHANG UNIVERSITY OF SCIENCE AND TECHNOLOGY, KOREA
Ph.D., Computer Science, Feb. 2013

KOREA UNIVERSITY, KOREA
B.S., Electrical, Electronics and Radiowave Engineering, 2004

 
 
 

 
 
 
Yunku Yeu

Yunku Yeu

Post-Doc

Yunku Yeu

My researches have been focused on developing algorithms and analyzing data to solve various molecular biological problems.
Specifically, my research interests include sequencing data analysis for WGS/WEX/RNA project, CRISPR-CAS9, ribosome profiling, etc. I am also interested in general topics in Computer Sciences such as data mining and machine learning.

 

Education

YONSEI UNIVERSITY, KOREA
Ph.D., Computer Sciences, Feb. 2016
M.S., Computer Sciences, Feb. 2011
B.S., Computer Sciences, Feb. 2009

 
 

 
 
 

Research Student

Nabhonil Kar

Education

Princeton University
B.S.E, Operations Research and Financial Engineering, Exp. June 2020

 
 
 

 
 

 
 

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