B.S. in Computer Science (GPA: 3.88/4.0) Highest Honor

Software Engineer II (L3)
Building and improving mission-critical internal data pipeline systems.

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.

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.

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.

Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau
29th ACM International Conference on Information and Knowledge Management (CIKM'20), October 19–23, 2020, Virtual Event, Ireland.
Track: Resource

Nilaksh Das, Siwei Li, Chanil Jeon, Jinho Jung, Shang-Tse Chen, Carter Yagemann, Evan Downing, Haekyu Park, Evan Yang, Li Chen, Michael Kounavis, Ravi Sahita, David Durham, Scott Buck, Polo Chau, Taesoo Kim and Wenke Lee
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). Aug 4, 2019. Anchorage, Alaska USA.
Project Showcase, Oral presentation

Joonyoung Kim, Sudeep Agarwal, Kristina Marotta, Siwei Li, Jonathan Leo, Duen Horng (Polo) Chau
18th ACM Conference on Interaction Design and Children, Jun. 2019.
Poster, Honorable Mention

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

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.
Project Showcase

Developed an extensible research platform for security and ML researchers to interactively construct transformation and evaluation pipelines.

Developed an analytics dashboard for timeseries health data collected from mobile devices using Kotlin and React. Integrated into Cerebral Cortex Data Analytics Platform by NIH MD2K Center of Excellence.

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.

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.

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.

Annual Award for 1 or 2 undergraduate researchers, $500

PURA Salary Award for faculty research, $1500