Abstract:
TBD
Bio:
Dr. Smita Krishnaswamy is an Associate Professor of Genetics and Computer Science at the Yale School of Medicine. She holds affiliations with the Applied Mathematics program, the Computational Biology and Bioinformatics program, the Yale Center for Biomedical Data Science, and the Yale Cancer Center. Her research is centered on the development of novel machine learning techniques to interpret high-dimensional biomedical data. Dr. Krishnaswamy’s lab specializes in creating unsupervised methods, particularly using manifold learning and deep learning, to visualize, denoise, and reveal hidden structures within complex datasets. These powerful algorithms have been applied across a wide range of biological data, including single-cell RNA-sequencing and cytometry, to advance our understanding of immunology, cancer, neuroscience, and developmental biology. She earned her Ph.D. in Computer Science and Engineering from the University of Michigan.
Abstract:
TBD
Bio:
Dr. Cecilia Garraffo is a distinguished astrophysicist and the founder and director of the AstroAI Institute at the Center for Astrophysics | Harvard & Smithsonian. She is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor bestowed by the U.S. government on early-career researchers. Originally from Argentina, she earned her PhD in Physics from the University of Buenos Aires, specializing in theoretical physics and cosmology. Dr. Garraffo's work is at the forefront of AI-driven astrophysical research, where she applies advanced computational and deep learning techniques to complex problems. Her research interests include stellar evolution, star-planet interactions, and using generative AI models to advance astrophysical simulations and the atmospheric characterization of exoplanets.
Abstract:
TBD
Bio:
Dr. Huimin Zhao is a distinguished leader in the field of synthetic biology and metabolic engineering, serving as the Steven L. Miller Chair Professor of Chemical and Biomolecular Engineering at the University of Illinois at Urbana-Champaign (UIUC). He also holds appointments as a professor of chemistry, biochemistry, and bioengineering. Dr. Zhao leads several major research initiatives, including directing the NSF AI Institute for Molecule Synthesis and the NSF iBioFoundry. After receiving his Ph.D. in Chemistry from the California Institute of Technology under the guidance of Nobel Laureate Dr. Frances Arnold, he worked as a project leader at the Dow Chemical Company before joining UIUC in 2000. His innovative research focuses on developing and applying synthetic biology tools, machine learning, and lab automation to tackle significant societal challenges in health, energy, and sustainability, leading to numerous awards and a portfolio of over 30 patents.
Abstract:
TBD
Bio:
Dr. Bei Wang is an Associate Professor at the Kahlert School of Computing and an Adjunct Associate Professor in the Department of Mathematics at the University of Utah. She is also a key faculty member of the university's renowned Scientific Computing and Imaging (SCI) Institute. Dr. Wang earned her Ph.D. in Computer Science from Duke University, where she also obtained a certificate in Computational Biology and Bioinformatics. Her research is centered at the intersection of topological data analysis, data visualization, and computational topology, integrating these fields with machine learning and data mining to analyze complex scientific data. Dr. Wang is a highly decorated early-career researcher, having received the prestigious Presidential Early Career Award for Scientists and Engineers (PECASE), a DOE Early Career Research Program award, and an NSF CAREER award in recognition of her innovative work.