Jonayet Lavin is a Research Fellow at York University, focusing on enhancing neural architecture search (NAS) and automating bias mitigation in deep learning models. Currently, Lavin holds a Software Engineer Intern position at Esync Technologies while previously working at Columbia University's Advanced Research in Software Engineering Lab, collaborating with Dr. Baishakhi Ray and Ziyuan Zhong on traffic simulation for autonomous driving systems. Past internships include an ML Engineer Intern role at Caltech's Parker Lab, where work was conducted under Dr. Joseph Parker, and a Research Intern position at Harvard Medical School's Psychiatry Neuroimaging Laboratory, developing innovative imaging methodologies. Jonayet is pursuing a Bachelor of Science in Computer Science at Caltech, having graduated from Bronx High School of Science.
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