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  • Seminar: Graph Theoretical Descriptors for Biomimetic Nanoparticles and Fibrous Nanocomposites

    Zoom ID: https://cuboulder.zoom.us/j/96007553384 Password: i-aim Nicholas Kotov (U Michigan) "Graph Theoretical Descriptors for Biomimetic Nanoparticles and Fibrous Nanocomposites" Abstract: Descriptors based on graph theory (GT) are needed to achieve accurate representations of two classes of nanostructures for the successful application of machine learning (ML). First, a method to depict protein structure at molecular, nanoscale, and sub-microscale levels […]

  • Seminar: Recourse in Machine Learning

    Please join us on Tuesday, June 1 @ 2:00 pm for a ZOOM talk by Berk Ustun. The talk will be about 45 minutes and will be followed by a 30 minute Q&A.Title: Recourse in Machine LearningAbstract: Machine learning models are often used to automate decisions that affect humans: whether to approve a loan, extend a […]

  • Data Science Insights Speaker Series: Yian Ma

    Details Exploration Problem in Sequential Decision Making: A Computational Perspective by Yian Ma Abstract: Efficient Exploration is often the bottleneck for solving sequential decision making problems. Many different approaches have been proposed and analyzed, such as explore-then-commit, upper confidence bound, etc. Much of the focus has been on using frequentist perspectives to understand and develop […]

  • Seminar: Machine Learning for Force Field Parameterization – Application to 2D Materials

    Title:  Machine learning for force field parameterization -- Application to 2D materials Speaker:  Horacio Espinosa (Northwestern University) Abstract: The parameterization of interatomic potentials for molecular dynamics (MD) simulations has long been a highly-specialized endeavor requiring strong domain expertise and in most cases deep chemical intuition. We propose a robust approach incorporating multi-objective genetic algorithms and […]

  • HDSI Open House Fall 2021

    HDSI Open House is an event that will provide attendees with an in-depth look at our undergraduate data science talent and the various opportunities to engage with them. This event will be particularly relevant to those involved in talent acquisition as well hiring managers and leaders considering the addition of data science talent to their […]

  • Data Science Insights Speaker Series: Arya Mazumdar

    In partnership with the San Diego Machine Learning Meetup Group, we are excited to be launching this monthly speaker series. The intent for this series is to highlight faculty and data science related research from the Institute and UC San Diego to the broader community. Our next monthly event will be taking place on Wednesday, […]