peter (yun-shao) sung's resume 2016iii

1
PETER YUN- SHAO SUNG 112-20 72th Drive, Apt D13 U.S. Permanent Resident 347.393.9026 Forest Hills, NY, 11375 LinkedIn GitHub GoogleScholar [email protected] EDUCATION NEW YORK UNIVERSITY, COURANT INSTITUTE 2016 Master of Science, Degree in Computer Science, GPA: 3.74 CORNELL UNIVERSITY 2010 Master of Engineering, Degree in Biomedical Engineering, GPA: 3.5 NATIONAL TAIWAN UNIVERSITY 2007 Bachelor of Science, Degree in Engineering Science/Ocean Engineering, GPA: 3.2 RELATED COURSES Fundamental Algorithms Computational Machine Learning Operation System Heuristic Problem Solving(link) Real Time Big Data(link) Production Quality Software Deep Learning Search Engine Architecture(link) PROFESSIONAL EXPERIENCES Bioinformatic Analyst 2010-present Department of Pathology, Memorial Sloan-Kettering Cancer Center, NYC Designed and automated novel analysis pipeline for genome mutation diagnosis from data (>100M reads) of clinical tumors Published over 30 papers on identifying novel genomic signatures leading to sarcoma development Software Engineer Intern 2015-2015 Sep Orderhood, LLC (link) Developed on-demand delivery service by Node and React. Implemented and realtime rendered runner best route Achieved 52% dashboard efficiency improvement by backend refactoring and developed API for robust RPC handling Software Engineer 2014-2015 Massive Bio, LLC (link) Designed and developed open-source software modules for various steps in a standard bioinformatics pipeline Designed and benchmarked performance of NGS tools for mutation detection up to 99% of sensitivity and 90% specificity Bioinformatician 2013-2014 Institute of Computational Biomedicine, Weill Cornell Medical College, NYC Improved C++ open soured tools for handling > 100M reads and developed pipelines for >50 times efficiency increment MACHINE LEARNING PROJECTS Learning on Music Structure with Spectral Clustering (link) Invested a novel model for training machine to identify batches of musical structures based on Laplacian spectral clustering Music Genre Classification (link) Invented novel scatter feature extraction with VLAD for efficient learning, 82% accuracy achieved than original 60% Search Engine Based Movie Recommendation System (link) Implemented and deployed our MapReduce method on AWS wrapped with self-designed scalable file system Build RESTful website classify user preferences and made recommendation accordingly Big Data for Stock Analysis (link) MapReduce on US stock correlation analysis, and sentiment analysis for news from the past 5 years SELECTED PUBLICATIONS, over 33 publications Complete list 1. Identification of Recurrent NAB2-STAT6 Gene Fusions in Solitary Fibrous Tumor/Hemangiopericytoma by Clinical Sequencing. Natural Genetics 45, 180–185 (2013). (Impact factor: 35.5) 2. Monoclonality of Multifocal Epithelioid Hemangioendothelioma of the Liver by Analysis of WWTR1-CAMTA1 Breakpoints. Cancer Genetics. 2012 (Equally Contributing Author) AWARD AND ACHIEVEMENTS Tuition reimbursement, Memorial Sloan-Kettering Cancer Center, NYC 2013 Top 0.97% over 70,000 test takers on Mathematic of Department Required Test, Taiwan 2004 Member in the school team of International Physics Olympiad, Taiwan 2003 LEADERSHIP Student Leader 2005-2006 Ten Outstanding Young Leaders Foundation, Taipei, Taiwan Conducted workshops and reported achievements to board of directors including president in Legislative Yuan of Taiwan EXPERIENCE AND SKILLS Technology: Python, C++, Torch, JavaScript, React, Node, Perl, R, FLUX, Shell, MapReduce, EC2, Beanstalk, S3, Hive, Hadoop Skills: CNN, RNN, LSTM, GAN, VLAD, SGD, kmeans, kmeans++, Principal Component Analysis Language: Mandarin (fluent), English (fluent), Taiwanese (fluent) 1

Upload: peter-sung

Post on 27-Jan-2017

63 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Peter (Yun-shao) Sung's Resume 2016III

PETER YUN- SHAO SUNG 112-20 72th Drive, Apt D13 U.S. Permanent Resident 347.393.9026 Forest Hills, NY, 11375 LinkedIn GitHub GoogleScholar [email protected] NEW YORK UNIVERSITY, COURANT INSTITUTE 2016

Master of Science, Degree in Computer Science, GPA: 3.7 4 CORNELL UNIVERSITY 2010

Master of Engineering, Degree in Biomedical Engineering, GPA: 3.5 NATIONAL TAIWAN UNIVERSITY 2007

Bachelor of Science, Degree in Engineering Science/Ocean Engineering, GPA: 3.2

RELATED COURSES Fundamental Algorithms Computational Machine Learning Operation System Heuristic Problem Solving(link) Real Time Big Data(link) Production Quality Software Deep Learning Search Engine Architecture(link)

PROFESSIONAL EXPERIENCES Bioinformatic Analyst 2010-present Department of Pathology, Memorial Sloan-Kettering Cancer Center, NYC • Designed and automated novel analysis pipeline for genome mutation diagnosis from data (>100M reads) of clinical tumors • Published over 30 papers on identifying novel genomic signatures leading to sarcoma development Software Engineer Intern 2015-2015 Sep Orderhood, LLC (link) • Developed on-demand delivery service by Node and React. Implemented and realtime rendered runner best route • Achieved 52% dashboard efficiency improvement by backend refactoring and developed API for robust RPC handling Software Engineer 2014-2015 Massive Bio, LLC (link) • Designed and developed open-source software modules for various steps in a standard bioinformatics pipeline • Designed and benchmarked performance of NGS tools for mutation detection up to 99% of sensitivity and 90% specificity Bioinformatician 2013-2014 Institute of Computational Biomedicine, Weill Cornell Medical College, NYC • Improved C++ open soured tools for handling > 100M reads and developed pipelines for >50 times efficiency increment

MACHINE LEARNING PROJECTS Learning on Music Structure with Spectral Clustering (link) • Invested a novel model for training machine to identify batches of musical structures based on Laplacian spectral clustering Music Genre Classification (link) • Invented novel scatter feature extraction with VLAD for efficient learning, 82% accuracy achieved than original 60% Search Engine Based Movie Recommendation System (link) • Implemented and deployed our MapReduce method on AWS wrapped with self-designed scalable file system • Build RESTful website classify user preferences and made recommendation accordingly Big Data for Stock Analysis (link) • MapReduce on US stock correlation analysis, and sentiment analysis for news from the past 5 years

SELECTED PUBLICATIONS, over 33 publications Completelist 1. Identification of Recurrent NAB2-STAT6 Gene Fusions in Solitary Fibrous Tumor/Hemangiopericytoma by Clinical

Sequencing. Natural Genetics 45, 180–185 (2013). (Impact factor: 35.5)

2. Monoclonality of Multifocal Epithelioid Hemangioendothelioma of the Liver by Analysis of WWTR1-CAMTA1 Breakpoints. Cancer Genetics. 2012 (Equally Contributing Author)

AWARD AND ACHIEVEMENTS Tuition reimbursement, Memorial Sloan-Kettering Cancer Center, NYC 2013 Top 0.97% over 70,000 test takers on Mathematic of Department Required Test, Taiwan 2004 Member in the school team of International Physics Olympiad, Taiwan 2003

LEADERSHIP Student Leader 2005-2006 Ten Outstanding Young Leaders Foundation, Taipei, Taiwan • Conducted workshops and reported achievements to board of directors including president in Legislative Yuan of Taiwan

EXPERIENCE AND SKILLS

Technology: Python, C++, Torch, JavaScript, React, Node, Perl, R, FLUX, Shell, MapReduce, EC2, Beanstalk, S3, Hive, Hadoop Skills: CNN, RNN, LSTM, GAN, VLAD, SGD, kmeans, kmeans++, Principal Component Analysis Language: Mandarin (fluent), English (fluent), Taiwanese (fluent)

�1