Aly Lidayan is a PhD student and researcher at Berkeley AI Research with 11 years of applied ML experience spanning academia and industry. They have built deep learning perception and prediction models for autonomous vehicles at Uber and developed pedestrian-behavior simulations, bringing research-grade methods into production contexts. Their earlier work blends computational neuroscience and cognitive modeling at MIT—using Bayesian inference, hidden Markov models, and dimensionality reduction to link neural activity to behavior—and includes a patented algorithm for genomic sequence alignment. Aly’s internships range from audio analytics and heart-sound classification to game mechanics and AI-driven drawing analysis, showing a knack for translating probabilistic and signal-processing techniques across domains. Based in Berkeley, they combine rigorous mathematical training with hands-on engineering to tackle real-world, interdisciplinary ML problems. An under-the-radar strength is their ability to design experiments that tightly close the loop between model predictions and behavioral validation.
11 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 University of California, Berkeley
Bachelor of Science - BS, Mathematics with Computer Science, 5.0, Bachelor of Science - BS, Mathematics with Computer Science, 5.0 at Massachusetts Institute of Technology
A levels: Mathematics, Further Mathematics, Physics, Chemistry, A levels: Mathematics, Further Mathematics, Physics, Chemistry at Westminster School
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