Nicholas Chiang
I am a software engineer at Alation working on their Agent Studio and a student pursuing a B.S. in computer science at Brigham Young University.
Here’s my CV. It’s also available in dark mode.
Reach me at @nhchiang or [email protected].
Previously
In 2025, I joined Alation when they acquired Numbers Station.
In 2024, I curated a fashion database and built an interface (and a faster one) to explore it.
In the summer of 2022, I built the demo used to raise a $17.5 million Series A round led by Madrona for Numbers Station. Later that year, I joined Numbers Station full time.
In 2021, I developed a newsletter reader with Martin Srna and Juraj Pal. I also worked at the Roote Foundation building an alternative Twitter client.
From 2020–2022, I worked on Tutorbook to coordinate PAUSD’s and School Simplified’s peer tutoring programs.
From 2018–2019, I worked with Luke Hsiao and Sen Wu at Stanford University. We used machine learning to build hardware component knowledge bases directly from PDF datasheets.
Research
Select publications, in reverse chronological order.
-
Creating Hardware Component Knowledge Bases with Training Data
Generation and Multi-task Learning
L. Hsiao, S. Wu, N. Chiang, C. Ré, and P. Levis
ACM Transactions on Embedded Computing Systems (TECS), Sept. 2020
-
Automating the Generation of Hardware Component Knowledge Bases
L. Hsiao, S. Wu, N. Chiang, C. Ré, and P. Levis
Languages, Compilers, and Tools for Embedded Systems (LCTES), Jun. 2019
