Dr. Smita Krishnaswamy

Biography

Smita Krishnaswamy is an Associate Professor in the Department of Computer Science and the Department of Genetics at Yale University. Her research focuses on developing innovative methods for exploratory analysis and scientific inference in the realm of big biomedical datasets. Smita's lab employs deep learning techniques in the analysis of data produced by single-cell sequencing, structural biology, biomedical imaging, and electronic health records. The lab's research emphasizes the integration of mathematical priors and sophisticated frameworks in machine learning to derive predictive insights from complex biological systems. Smita teaches various courses including Deep Learning Theory and Applications and Unsupervised Learning, sharing her expertise in computational biology and interdisciplinary neuroscience. She has a strong academic background, having obtained her Ph.D. in the Electrical Engineering and Computer Science department from the University of Michigan, where her thesis explored algorithms for nanoscale logic circuits. Her prior work experience includes a postdoctoral position at Columbia University and research at IBM's TJ Watson Research Center. Throughout her career, Smita has received prestigious recognitions such as the NSF CAREER Award and the Sloan Faculty Fellowship for her contributions to the field of biomedical data science.

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