I’m a fifth-year electrical engineering Ph.D. student at Stanford University interested in systems, networking, and security. While an undergraduate, I focused on digital systems and embedded hardware and software. Now, I work with Phil Levis and Keith Winstein doing systems and networking research.

Education

Dates	Degree
2015 – 2021	Ph.D. in Electrical Engineering Stanford University
2015 – 2017	M.S. in Electrical Engineering Stanford University
2010 – 2015	B.S. in Computer Engineering Brigham Young University, Summa Cum Laude

Skills

• Programming: Python, C, Rust, LaTeX, Make, x86 Assembly
• Systems/Tools: Vim, Git, Linux, Perforce, AWS, GCE, CI/CD

Industry Experience

Dates	Role
2019-06 – 2019-09	Research Intern, Google Explored BBRv2 for many-to-one data center traffic, reducing latency and retransmit rates by 30% and 80%, respectively. Open sourced Transperf, a transport protocol performance tool for testing TCP over emulated network scenarios.
2017-06 – 2017-09	Software Engineering Intern, NVIDIA Helped develop a new system-level Windows driver for gaming laptops. Designed and implemented secure APIs in kernel-space C code.
2015-04 – 2015-06	Software Engineering Intern, Novi Security Prototyped embedded software architectures to analyze and improve testability. Built infrastructure for continuous integration and test-driven development.

Research Experience

Dates	Role
2015-09 – Present	Ph.D. Research Assistant, Stanford University (Advisor: Phil Levis) Area: Systems and Networking Current: Ultra low latency foveated video compression with Keith Winstein. Past: Building knowledge bases from richly formatted data using machine learning.
2014-04 – 2015-06	Undergraduate Research Assistant, Brigham Young University (Advisor: Mike Wirthlin) Area: Embedded Systems, FPGA Reliability, and Fault Injection Implemented VHDL components used in FPGA reliability experiments. Created standalone JTAG fault injection tool for radiation testing in C/C++.

Teaching Experience

Semester	Course
W2019	Introduction to Computer Networks (CS 144), Graduate CA Stanford University
W2016	Program Analysis and Optimizations (CS 243), Graduate Grader Stanford University
W2014	Data Structures and Algorithms (CS 235), Undergraduate TA Brigham Young University

Publications

Select publications, in reverse chronological order.

Peer-Reviewed Papers

1. Automating the Generation of Hardware Component Knowledge Bases, LCTES 2019
   L. Hsiao, S. Wu, N. Chiang, C. Ré, and P. Levis
   [paper] [code] [data]
2. Fonduer: Knowledge Base Construction from Richly Formatted Data, SIGMOD 2018
   S. Wu, L. Hsiao, X. Cheng, B. Hancock, T. Rekatsinas, P. Levis, and C. Ré
   [paper] [code]
3. Smart Contracts for Machine-to-Machine Communication: Possibilities and Limitations, IOTAIS 2018
   Y. Hanada, L. Hsiao, and P. Levis
   [paper]
4. Estimating Soft Processor Soft Error Sensitivity through Fault Injection, FCCM 2015
   N. Harward, M. Gardiner, L. Hsiao, M. Wirthlin
   [paper]
5. A Fault Injection System for Measuring Soft Processor Design Sensitivity on Virtex-5 FPGAs, FASA 2014
   N. Harward, M. Gardiner, L. Hsiao, M. Wirthlin
   [paper]

Preprints

1. The Price of Free Illegal Live Streaming Services, arXiv 2019
   H. Ayers and L. Hsiao
   [paper]
2. TCPTuner: Congestion Control Your Way, arXiv 2016
   K. Miller and L. Hsiao
   [paper] [code]

Stanford Graduate Coursework

Semester	Course
F2018	Topics in Computer and Network Security (CS 356), Z. Durumeric
F2017	Machine Learning (CS 229), A. Ng and D. Boneh
Sp2017	Parallel Processors Beyond Multicore Processing (EE 382A), A. Blas
Sp2017	Advanced Topics in Networking (CS 244), K. Winstein and S. Katti
W2017	Database System Principles (CS 245), P. Bailis
W2017	Introduction to Cryptography (CS 255), D. Boneh
F2016	Embedded Systems Workshop (CS 241), P. Levis
F2016	Advanced Multi-Core Systems (CS 316), C. Kozyrakis
Su2016	Linear Dynamical Systems (EE 263), A. Momeni
Sp2016	Computer and Network Security (CS 155), D. Boneh and J. Mitchell
Sp2016	Computer Systems Architecture (EE 282), H. Litz and C. Delimitrou
W2016	Network Application Studio (CS 344G), K. Winstein
W2016	Program Analysis and Optimizations (CS 243), M. Lam
F2015	Introduction to Computer Networking (CS 144), P. Levis and N. McKeown

Past Projects

• ReBBR: Reproducing BBR congestion control performance in lossy networks.
• CribSense: A contactless, video-based baby monitor. Built using video magnification on a Raspberry Pi.
• Stanford EE Quals Resources: Study materials focused on hardware/software areas for new EE students.
• Robot Soccer: Autonomous, custom-made striker used to win the BYU robot soccer competition.
• Bomberman: An interactive display to use for outreach, built with a Raspberry Pi and a MakeyMakey.
• Space Invaders: Implemented in C using a MicroBlaze softprocessor.