Events

Audience: Alumni

  • Managing Your Time and Increasing Your Productivity Webinar

    It seems we always have too much to do at work in too little time. Join us as we explore innovative approaches to thinking and operating, while also engaging with proven best practices in time management and productivity. You’ll come away from this knowing how to prioritize competing tasks, minimize interruptions, communicate boundaries to colleagues,…

  • Mawhorter, R. (CSE) – Certified Synthesis for Interactive Media: High Assurance Metroidvania Generation

    Program verification has been applied in many contexts (including videogames), but the scale and complexity of the examples that have been analyzed fall short of the ability to analyze many existing games without massive computational costs. My research focuses on automatic analysis and design of one particular game: Super Metroid, with the goal of creating…

  • Model Context Protocol: Why It Matters

    The Impact of Model Context Protocol Join us for an engaging exploration of the Model Context Protocol—a groundbreaking framework designed to improve communication and context-sharing across AI agents. As AI systems become more modular and collaborative, MCP offers a powerful solution for maintaining continuity across tasks, tools, and models. This free, online event is sponsored…

  • Asefi, N. (ECE) – Generative Lagrangian Data Assimilation for Ocean Dynamics under Extreme Sparsity

    Reconstructing ocean dynamics from observational data is fundamentally limited by the sparse, irregular, and Lagrangian nature of spatial sampling, particularly in subsurface and remote regions. This sparsity poses significant challenges for forecasting key phenomena such as eddy shedding and rogue waves. Traditional data assimilation methods and deep learning models often struggle to recover mesoscale turbulence…

  • Ghosh, S. (CMPM) – Scientific Sensemaking with Spatial Data in Collaborative Virtual Reality

    Collaborative virtual reality environments have the potential to greatly impact scientific progress, especially those relating to existential human problems. Within these virtual environments, scientists could view and interact with spatial data in applications as part of their sensemaking process, however, there are design challenges and barriers to development. This advancement document presents research questions related…

  • Montenegro, C. (ECE) – Control of Uncertain Hybrid Systems

    Machine learning endows autonomous systems to uncover underlying structures and physical laws from measured data and to leverage these models for prediction and decision-making. As the costs of data acquisition, processing, and storage decline—and sensors become increasingly widespread alongside ever-improving algorithms—artificial intelligence has attracted significant attention in research and industry. Machine-learning methods are particularly attractive…

  • Interested in a paralegal career?

    You are invited to join a free, online informational session to learn more about the Center for Legal Studies Paralegal Certificate Course©, a professional education program taught through the UCSC Silicon Valley Extension Paralegal Studies program. Topics Career growth and earning potential An overview of how CLS works with accredited college and university partners Course…

  • Vera-Choqqueccota, S. (BMEB) – A CRISPRi-Based platform for multimodal functional analysis of neurodevelopmental and neuropsychiatric disorders risk genes in engineered mouse cortical neurons

    Neurodevelopmental and neuropsychiatric disorders (NPDs), such as autism spectrum disorder and schizophrenia, are among the most heritable yet mechanistically complex conditions. While large-scale genomic studies have identified hundreds of high-confidence risk genes, the lack of scalable and integrative platforms has limited our ability to functionally characterize these genes. To address this, I am developing a…

  • Rose, N. (BMEB) – MACHINE LEARNING MODELS FOR T CELL RECEPTOR TARGET DISCOVERY AND AFFINITY ENGINEERING

    T cell receptors (TCRs) mediate antigen-specific immune responses through recognition of peptides presented by major histocompatibility complex (pMHC) molecules. Accurately predicting TCR–pMHC interactions remains a major barrier to TCR-based immunotherapy, due to limitations in current models that fail to generalize beyond common viral epitopes and well-characterized HLA alleles. In this PhD proposal, I outline a…

  • Johnson-Bey, S. (CMPM) – Designing Reusable Tools for Social Simulation-Driven Emergent Storytelling

    Narrative sandbox games rely heavily on simulation to produce emergent narrative experiences. Instead of featuring pre-authored central narratives, these games provide a play space, a sandbox, of various systems and mechanics players use to produce interesting narrative moments. This dissertation focuses on social simulation games, a subset of narrative sandbox games that drive the narrative…

Last modified: Sep 25, 2025