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Post-Doctoral fellows


 

Seungjin Na (Computer Science) 

 

Research Interests
Bio-informatics is handling big data obtained from nature or experiments as materials, and main topic of bio-informatics is finding clinical solution or bio-marker for diagnosis of diseases. Especially, cancer is that most i interested in. Recently, large scale human EXOM sequencing and RNA sequencing experiments are carried out, so huge amount of sequencing data is collected. By this data, i want to conduct research about comparing sequencing data from experiment with reference genome sequence, and finding variations of DNA.
 

Keywords : Proteomics, Proteogenomics, Personalized Protein Database, Cancer genomics

 

Honglan Li (Computer Science) 

 

Research Interests
I have an interest in an interface between proteome and genome such as finding and verifying variational genes corresponding to a identified peptide/protein from MS/MS experiment, and discovering and verifying a novel/known behavior of non-coding/coding genes (mobile elements, pseudogenes something else). Furthermore, I have focused on computatoinal methodologies/developments to solve the above things such as peptide/protein identification softwares and peptide mapping onto genome something like that.
 

Keywords :  mobile element, non-coding gene, peptide/protein identification, sequence mapping, pseudogene, FDR control

 

Ph.D. Candidates


 

Wonyeop Lee (Computer Science) 

 

Research Interests
Bio-informatics is handling big data obtained from nature or experiments as materials, and main topic of bio-informatics is finding clinical solution or bio-marker for diagnosis of diseases. Especially, cancer is that most i interested in. Recently, large scale human EXOM sequencing and RNA sequencing experiments are carried out, so huge amount of sequencing data is collected. By this data, i want to conduct research about comparing sequencing data from experiment with reference genome sequence, and finding variations of DNA.
 

Keywords : Proteomics, Proteogenomics, Personalized Protein Database, Cancer genomics

 

Seunghyuk Choi (Computer Science) 

 

Research Interests
I have an interest in an interface between proteome and genome such as finding and verifying variational genes corresponding to an identified peptide/protein from MS/MS experiment, and discovering and verifying a novel/known behavior of non-coding/coding genes (mobile elements, pseudogenes something else). Furthermore, I have focused on computatoinal methodologies/developments to solve the above things such as peptide/protein identification softwares and peptide mapping onto genome something like that.
 

Keywords :  mobile element, non-coding gene, peptide/protein identification, sequence mapping, pseudogene, FDR control

 


M.S. Candidates


 

Kyoungtaek Yoon (Computer Science) 

 

Research Interests
I would like to analyze genome sequencing changes and study links with various diseases, including rare diseases and cancer genetics. In addition, I also hoped to combine artificial intelligence with bioinformatics to analyze rare disease and cancer genomes individually and develop personalized disease prevention and treatment systems.
 

Keywords : bioinformatics, artificial intelligence

 

Sang Ho Yoon (Computer Science) 

 

Research Interests

Bio-informatics is handling big data obtained from nature or experiments as materials. My research goal is to appropriately interpret the biological data using computer science and bioinformatics. In addition,  I have focused on computatoinal methodologies/developments to solve the above things such as peptide/protein identification softwares.

 

Keywords : bioinformatics, big data

 

Song Jiang (Computer Science) 

 

Research Interests

I am very interested in bioinformatics which is handling a big data contained from nature or experiments.  With the rapid development of biotechnology and artificial intelligence technology, I want to   study comparing sequencing data and research some efficient AI algorithm. In addition, I hope to   create some efficient detection algorithms and peptide/protein identification softwares.

 

Keywords : AI, big data, identification softwares, proteomics

 

Jihun Cha (Computer Science) 

 

Research Interests

 I'm interested in Bioinformatics, which is the study combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret biological data. In this field, by using computer science, methods and software tools for understanding biological big data can be developed. I'm hoping to combine AI with bioinformatics to develop better medical treatment systems, so therefore I can contribute to society by creating softwares for human health.

 

Keywords : AI, Bioinformatics, big data

 

Junhee Hong (Computer Science) 

 

Research Interests

I have an interest in analyzing the changes in genome sequencing and studying the links to various diseases, including rare diseases and cancer genetics. I also hope to study comparing sequencing data and research efficient artificial intelligence algorithm to combine them with bioinformatics to individually analyze rare disease and cancer genomes and develop customized disease prevention and treatment systems.

 

Keywords : artificial intelligence, bioinformatics

 

 

Juho Son (Computer Science) 

 

Research Interests

I'm interested in Bioinformatics, which is handling big data and identifing peptide/protein from MS/MS experiment. My goal is to find bio-marker for dignosis of diseases. Furthermore, I hope to find clinical solution with mathmatical and computational methodologies

 

Keywords : Data analysis, Data Engineering, Big data, Bioinformatics

 

Sunggon Kang (Computer Science) 

 

Research Interests

I am curious about meaning of non-coding genes and any effects on proteins by non-coding/coding genes. My goal is to find a correlation between protein and non-coding/coding genes by big data of bioinformatics. In addition, I also hoped to combine artificial intelligence with bioinformatics to analyze rare disease and cancer genomes individually and develop personalized disease prevention and treatment systems.

 

Keywords : Proteogenomics, non-coding gene, Big data

 

 

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