July 2023-present: Currently we have positions for graduate students, undergraduate students, and postdocs to do research in our lab.
July 2023: Check out Andy Fell’s piece entitled “Bringing COVID-19 Data into Focus” on our latest paper “Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time series“, just published in Science Advances.
June 2023: Our latest paper on “Multi-landmark alignment of genomic signals reveals conserved expression patterns across transcription start sites” has been accepted in Scientific Reports.
June 2023: Our latest paper on “Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time series” has been accepted in Science Advances.
May 2023: Check out Prof. Saiz preprint on “Chaperone-driven entropic separation of amyloid nanofilament bundles” published in bioRxiv.
March 2023: Check out Prof. Saiz preprint on “The unreasonable effectiveness of equilibrium gene regulation through the cell cycle” published in bioRxiv.
—————————————-2023—————————————-2023—————————————-2023—————————————-
December 2022: Prof. Saiz will be teaching two courses in Winter: BIM 152 (Molecular Control of Biosystems) for undergraduate students and BIM 189C (Computational tools and Applications in Bioengineering and Biomedicine) for undergraduate students.
November 2022: Check out Prof. Saiz report with the National Academies of Sciences, Engineering, and Medicine in The National Academies Press.
September 2022: Check out Prof. Saiz preprint on “Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time series” published in medRxiv.
July 2022: Our latest paper on “Robustness of DNA Looping Across Multiple Cell Divisions in Individual Bacteria” has been accepted in PNAS.