Siwei “Robert” Li
Github: RSLi
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Georgia Institute of Technology, Atlanta, GA
2016 - 2020
B.S. in Computer Science (GPA: 3.88/4.0) Highest Honor


Google, San Francisco, CA
Summer 2019
Software Engineering Intern
Built an RPC service and a web application adding explainability to a machine learning anomaly detection model in order to generate intuitive alerts for abnormal enterprise Google Doc access.
Georgia Institute of Technology, Atlanta, GA
Fall 2017 - Present
Undergraduate Research Assistant, School of Computational Science and Engineering
Advisor: Prof. Duen Horng (Polo) Chau
Member of the Polo Club of Data Science, where I innovate at the intersection of data science and human-computer interaction (HCI) to synthesize scalable, interactive, and interpretable tools that amplify human’s ability to understand and interact with big data.
Panasonic Automotive Systems, Peachtree City, GA
Summer 2017
Software Engineering Intern
Developed an extensible analytics tool in Java/Electron/React/d3 that enables engineers to create automated sequences that generate various analysis reports; estimated to reduce 30% of testing time.

Selected Publications

Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). Aug 19, 2018. London, UK.
Track: Applied Data Science Audience Appreciation Award Runner Up

Selected Projects

Intel MLSploit, Adversarial Machine Learning Research Platform
Fall 2018 - Spring 2019
Developed an extensible research platform for security and ML researchers to interactively construct transformation and evaluation pipelines.
NIH mHealth Visual Discovery Dashboard, Part of NIH's MD2K (Mobile Sensor Data-to-Knowledge) Initiative
Spring - Fall 2018
Developed an analytics dashboard for timeseries health data collected from mobile devices using Kotlin and React. Integrated into Cerebral Cortex Data Analytics Platform, a $11.8M project by NIH MD2K Center of Excellence.
Argo Graph, Large-scale Graph Visualization Tool
Fall 2017 - Present
Developing the next cross-platform interactive graph visualization tool capable of handling million-edge scale network data using WebGL, Node, and SQLite. Argo is used in CSE 6242 Data and Visual Analytics course, that teaches over 1000 students per year.

Selected Personal and Open Source Projects

NSF Smart Meter Data Portal: Searchable Github-based data-sharing platform for energy researchers
Spring 2018
HackGT/SponsorshipPortal: Intelligent portal for hackathon sponsors to search resumes of participants
Fall 2017 - Fall 2018

On-campus Activities

VIP Project: Health Informatics on FHIR, Atlanta, GA
Fall 2018 - Fall 2019
Development Team Lead
Develop FHIR applications to improve Emergency Room and Triage efficiency. Currently working with Grady Memorial Hospital, the fifth-largest public hospital in the US, with one of the busiest ER in the country.
HackGT Organizers Team, Atlanta, GA
Spring 2017 - Fall 2019
Organizing Largest College Hackathon in the Southeast (1000+ Students)
Hold hackathons and workshops; make open source projects for event organizers; mentor beginners and high school students.

Selected Skills

Languages: Java, Python, JavaScript (ES6+), TypeScript, Kotlin, Swift, C++, SQL, Bash, PHP, Go
Web: React, Redux, Node/Express, Electron, Django, Flask, CodeIgniter, HTML, CSS, JQuery
Mobile: Android, Cordova, iOS/ARKit
Data Science: Machine Learning (scikit-Learn, Tensorflow, numpy, pandas), Data Visualization (D3, matplotlib)
Miscellaneous: Infrastructure (Docker, Kubernetes, Vagrant), Build Systems (Gradle, Webpack, Travis CI)