Nilay Vora

Nilay Vora, Ph.D., is a Principal Scientist in Computational Image Analysis at Regeneron, focusing on developing deep learning algorithms for biomedical imaging. With five years of experience in Health AI, Nilay has designed ML algorithms for detecting rare cellular events and enhancing low-SNR biological images. Previously, Nilay held various roles at Rutgers University and Tufts University, including Research Assistant and Graduate Teaching Assistant, while earning a Bachelor of Science and a Doctor of Philosophy in Biomedical Engineering. Passionate about analyzing large datasets, Nilay specializes in machine learning, data analysis, and image processing techniques.