Speech Neuroscience Researcher at Stanford University
Palo Alto, California, United States
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Summary
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Ali Khan is a speech neuroscience and multimodal AI researcher with five years of hands-on experience building audio-first systems at Stanford and industry labs like Apple and DEKA. Currently pursuing an MSCS at Stanford, he leads projects that span early disease detection from children's speech, Audio-LLM evaluation benchmarks, and a behaviorally-intelligent 3D embodied conversational agent that synchronizes speech with expressive motion. His work combines signal processing, generative audio (score-based and consistency models), and large-model evaluation to push practical applications—from ML codecs and speech enhancers to diarization in noisy classrooms. A seasoned presenter and collaborator in Bay Area research circles, he pairs strong engineering delivery with a curiosity-driven approach—"Curiosity breeds curiosity"—that fuels interdisciplinary solutions and a pending patent for context-aware conversational voice assistants.
5 years of coding experience
2 years of employment as a software developer
The University of Arizona
International Hope School Bangladesh
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
TensorFlow version of training my model using hand gestures and run a program that will use that data to identify gestures.
Contributions:4 PRs, 9 pushes, 2 branches in 8 months
deep-learningtrainingtensorflowhand-gestureshand
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