Career Highlights (International)

• Editor, METHODS journal. #
• Member of border of directors, ACM SIG Bioinformatics #
• Vice chair for education, IEEE Technical Committee on Computational Life Sciences (TCCLS), #
• Co-editor, International Journal of Data Mining and Bioinformatics #
• Co-organizing many scientific meetings,ACM Conference on Bioinformatics, Computational Biology, and Biomedicine 2011 #

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Career Highlights (Domestic)

• 부회장, 한국생명정보시스템생물학회, Korea Society for Bioinformatics and Systems Biology #
• 부회장, [한국정보과학회 인공지능 소사이어티]
• 학술이사, [한국정보과학회 데이터베이스 소사이어티]

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Career Highlights (Conference)

• Co-organizing many scientific meetings including,
• Co program chair, ACM Conference on Bioinformatics, Computational Biology, and Biomedicine 2011
• Co conference chair, IEEE Conference on Bioinformatics and Biomedicine 2009
• Co program chair, IEEE Conference on Bioinformatics and Biomedicine 2008
• PC member (2013)
• ISMB 2013, RECOMB-seq 2013, APBC 2013, ICDE 2013, ICIBM 2013, IIBM 2013

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Introduction

• 2011 – 현재: 서울대학교 컴퓨터공학부 부교수, 교수
• 2011 – 현재: 서울대학교 생물정보연구소 소장
• 2009 – 2011: 미국 인디애나대학교 School of Informatics and Computing 학과장
• 2001 – 2011: 미국 인디애나대학교 School of Informatics and Computing 조교수, 부교수
• 1998 – 2001: 미국 듀퐁중앙연구소 선임 연구원

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Awards

• Leaders in 1000 Technologies for 2020, National Academy of Engineering Korea, 2013
• On-BIT Award, Korea Society for Bioinformatic and Systems Biology, 2013
• 미국 과학재단 US NSF CAREER Award 2003
• Indiana University Outstanding Junior Faculty Award 2004
• DuPont 중앙연구소 Achievement Award 2000

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Company Career (including consulting)

• 2010, 삼성종합 기술원 (Samsung Advanced Institute of Technology), global research advisor
• 2007, Dow Agro Sciences, consultant
• 1998-2001, DuPont Central Research, Senior Computer Scientist
• 1996-2000, DACOM, researcher

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Recent Lectures

• 2013.6.14 대한의료정보학회 KOSMI NRF Session, 아산병원, IT Issues for Mining Testable Hypotheses from Bio Big Data, Omics
• 2013.6.12 서울대 생물정보학 세미나, Sequence-Based Enzyme Catalytic Domain Prediction Using Clustering and aggregated Mutual Information Content
• 2013.6.11 한국-스웨덴 기초연구 공동워크샵, Marriott Hotel, Mining Omics Data Helps Understand Phenotype-specific Biological Mechanisms
• 2013.5.29 한양대 컴퓨터 공학부. 유전자 발현 정보 처리· 분석을 위한 빅데이터 활용: 가뭄저항성 벼, 유방암 연구 개발/분석 예
• 2013.5.24. 서울대 BioMAX 10주년 기념 Biofestival Omics session. Three-step Strategy to Construct Phenotype-specific Transcriptional Networks using Omics Data
• 2013.5.23 제2회 서울대 생물정보연구소 생물정보 워크샵, Modeling DNA methylation Susceptibility and CpG islands
• 2013.5.14. 삼성전자, 유전자 발현 정보 처리· 분석을 위한 빅데이터 활용: 가뭄저항성 벼, 유방암 연구 개발/분석 예
• 2013.5.7. Swiss-Korea Science Days, Lausanne, Siwss, BioVLAB: A reconfigurable bioinformatics cloud environment
• 2013.5.3. Taiwan AI Forum, Machine learning approaches to modeling DNA methylation susceptibility using sequences as features
• 2013.5.2. National Taiwan Ocean University, Machine learning approaches to modeling DNA methylation susceptibility using sequences as features
• 2013.4.29. [서울대 Bio-MAX 연구회]에 뇌질환분야와 Bioinformatics분야가 공동연구회, Omics의 기능적 해석
• 2013.3.22 Peking University, Integrated Omics Research from microRNA and DNA Methylation Perspectives
• 2013.3.15 삼성전자, Machine learning analysis combining genetics and medical imaging.
• 2013.2.28 ETRI, BioVLAB: A reconfigurable bioinformatics cloud environment.
• 2013.1.24 한국정보교육학회 학술대회, 교대, Informatics 새로운 융합 Paradigm for Computing
• 2013.1.23 생물정보연구회, 서울대 생명공학 공동 연구원, 생물정보연구에서 IT의 역할
• 2013.1.17 SWCS 소프트웨어 컨버전스, 한국정보과학회, KOEX, BioVLAB-MMIA: A Reconfigurable Bioinformatics Cloud Environment.
• 2013.1.15 서울대 Big Data Center, RNA-seq 처리분석 시스템.
• 2012.12.20 제2회 자가면역연구회 심포지엄, 가톨릭대학교 의과학연구원 1002호, Analysis of genome-wide DNA methylation in 30 breast cancer cell. lines

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