Objective

Software Engineer full-time/intern position.

Education

Virginia Polytechnic Institute and State University, Blacksburg, VA, US Expected Graduation: 2017 Master’s degree in Computer Science

Skills

Programming languages and skills:

Python, Java, JavaScript, Perl, R, Matlab, Linux Shell, Bash, AngularJS, SpringBoot, Hadoop, Spark, Caffe, MongoDB, SQL, NLP

Academic coursework:

Machine Learning, Data Analytics, Database Management System, Numerical Analysis, Information Visualization, Natural Language Processing, Data mining in Large Scale Network and Time Series, Hadoop Foundation, Software Engineering, Data and Algorithm analysis, Information Security.

Work Experience

Cisco

May, 2016 – Dec, 2016 Software engineer, Co-op

• Developed device health monitoring and data visualizing dashboard for NCS 6000 router with OpenDaylight Software Define Networking Framework and AngularJS Front End Framework.

• Designed Bayesian Network to explore association rules between faults in devices’ syslog. Developed Spark based syslog mining tool for handling streaming data and backtracking errors. GATACA LLC

Feb, 2016 – May, 2016 Software engineer, Co-op

• Developed a deep learning tool to predict next phenotype of HCV with Next-Generation Sequencing data.

• Developed HCV mutation calling and profiling tools on Next-Generation Sequencing platform. Virginia Polytechnic Institute and State University Jan, 2015 – May, 2016 Research Assistant

• Beat the highest performance of 2014 TREC Clinical Decision Support Task by designing a new Learning To Rank Framework leveraging Random Forest and Genetic Programming in medical document retrieval.

• Applying Compressive Sensing Theory and Conjunction Gradient Algorithm on Face Recognition Problem. Matlab code is available on Github: https://github.com/wujy2015/Face-recognition

• Community Detection applied to Gene Interaction Networks to discover the genes’ function. Introduction is on: http://bioinformatics.cs.vt.edu/~gustavo1/large_networks/

• Using SVR and Random Forest model to predict the failure of CRISPR/Cas9 system. Paper published on 11th International Symposium on Bioinformatics Research and Application. http://grid.cs.gsu.edu/isbra15/sites/default/files/ISBRA15_booklet_full.pdf

• Applied Deep learning to predict Seizure by using EEG data (Kaggle Competition). Laboratory of Bioinformatics and wheat functional Genomics, Chinese Academy of Agricultural Sciences June, 2011- May, 2014 Research assistant

• Genomic data analytics. Publication: mRNA and small RNA Transcriptomes Reveal Insights into Dynamic Homoeolog Regulation for Allopolyploid Heterosis in Nascent Hexaploid Wheat. Plant Cell (IF:10.656, Cited by 65) http://www.ncbi.nlm.nih.gov/pubmed/24838975 Junyan Wu

Email: ac01j1@r.postjobfree.com Tel: 626-***-**** Github: wujy2015 69-70 113th st. New York