Lei Hsiung
Applied Scientist at Dartmouth College
Hanover, New Hampshire, United States
Summary
👤
Senior🎓
Top SchoolLei Hsiung is an applied scientist and PhD student at Dartmouth with a decade of experience at the intersection of large language models, trustworthy ML, safety alignment, and robustness. His research has been published at top venues including CVPR, NeurIPS, and ICLR, and he has delivered applied research at industry leaders like Amazon, IBM, and MediaTek. Notable contributions include AutoVP (ICLR 2024) for automated visual prompting and NeuralFuse (NeurIPS 2024) for fault-tolerant on-chip AI accelerators, showing a knack for translating theory into practical systems. He blends hardware-aware ML and robustness benchmarking from his graduate work with hands-on engineering—building GPU/accelerator defenses, calibration toolkits, and automated testing frameworks. Based in Hanover, NH, he keeps an active academic profile (Google Scholar) while driving production-relevant research at Amazon. Colleagues describe him as someone who consistently turns rigorous research into reproducible, deployable solutions at the boundary of safety and performance.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Dartmouth CollegeMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at National Tsing Hua University
Chinese, English
Github Skills (23)
artificial-intelligence10
adversarial-attacks10
python10
toolbox10
machine-learning10
extraction10
inference10
security10
adversarial-machine-learning10
privacy10
ai10
fairness-ml10
robustness10
composite5
benchmark5
Programming languages (2)
Github contributions (5)
twweeb/PShop
Jun 2018 - Apr 2019
Contributions:9 commits, 7 pushes, 1 branch in 9 months
twweeb/VLSI-Physical-Design-Automation
Nov 2020 - Jan 2021
Contributions:29 commits in 2 months
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