Summary
Nadine Amin is a PhD candidate and Graduate Research Assistant at Purdue University specializing in natural language understanding, embodied language learning, and autonomous multi-agent systems with nine years of research and engineering experience. She has applied NLP and low-resource speech recognition to safety-critical aviation domains, fine-tuning models on limited, anonymized maintenance data and exploring language ID in terse chat contexts. Her work bridges theory and practice—from modeling an over-actuated quadrotor as an undergraduate to automating model testing with MATLAB at Valeo—demonstrating fluency across robotics, ML, and software tooling. At Purdue’s AKRaNLU lab she investigates gaps in embodied language learning, surfacing new research directions rather than incremental tweaks. She combines top academic performance across Purdue and Zewail City with hands-on industry internships, bringing disciplined experimentation and applied problem-solving to interdisciplinary teams. Notably, she pairs aerospace-rooted systems thinking with deep NLP expertise, enabling solutions that consider both physical embodiment and language understanding.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Aerospace Engineering, 3.96, Bachelor of Science - BS, Aerospace Engineering, 3.96 at Zewail City of Science and Technology
International General Certificate for Secondary Education - IGCSE, 100%, International General Certificate for Secondary Education - IGCSE, 100% at Al-Bashaer International Schools
Doctor of Philosophy - PhD, Computer and Information Technology, 4.00, Doctor of Philosophy - PhD, Computer and Information Technology, 4.00 at Purdue University
Arabic, English