May 2024-present: Currently we have positions for graduate students, undergraduate students, and postdocs to do research in our lab.
May 2024: Our latest paper on “Nanoparticle Assemblies: Current Advances and Open Problems” has been accepted in ACS Nano.
April 2024: Check out Prof. Saiz preprint on “Actionable forecasting as a determinant of function in noisy biological systems” published in arXiv.
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November 2023: Check out Prof. Saiz report with the National Academies of Sciences, Engineering, and Medicine in The National Academies Press.
September 2023: Our best wishes to Ninghui Hao, who just started her Master of Science in Biomedical Informatics at Harvard Medical School.
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.