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