Audience: Alumni

  • Okamoto, F. (BMEB) – Improving read-to-pangenome alignment in complicated genomic regions

    Okamoto, F. (BMEB) – Improving read-to-pangenome alignment in complicated genomic regions

    Many genetics pipelines start by aligning sequencing reads to a reference genome. Aligners attempt to find the position in the reference sequence which best matches the read sequence, but this breaks down when the reads come from a sample with variation relative to the reference. A proposed alternative, pangenome graphs, is supposed to fix such…

  • Bose, S. (ECE) – Learning-Augmented Optimization, Control, and Inference in Modern Power Systems

    Bose, S. (ECE) – Learning-Augmented Optimization, Control, and Inference in Modern Power Systems

    The electric grid is essential to modern society, and recent developments such as renewable energy sources (RESs), battery energy storage systems (ESSs), and microgrids (MGs) have necessitated novel computational methods for planning and operations. Machine learning offers a promising lever here, both as an accelerator for and proxy to traditional optimization-based problems. In this thesis,…

  • Imlau Dagostini, J. (CSE) – Intent-Driven Orchestration for Scientific Computing

    Imlau Dagostini, J. (CSE) – Intent-Driven Orchestration for Scientific Computing

    The growing complexity of high-performance computing (HPC) systems poses a fundamental challenge for domain scientists, whose primary objective is to obtain scientifically valid results rather than to optimize resource utilization. Modern leadership-class facilities combine heterogeneous CPUs, GPUs, and specialized accelerators across systems that simultaneously support traditional scientific simulations and AI-driven workloads. This creates a vast,…

  • Chen, Z. (CSE) – GPU Subgroup Semantics for Portable High-Performance Kernels

    Chen, Z. (CSE) – GPU Subgroup Semantics for Portable High-Performance Kernels

    Modern high-performance GPU kernels increasingly rely on subgroup-level execution, including subgroup-level communication, subgroup operations, and matrix operations. These features are essential for workloads such as matrix multiplication and FlashAttention, but their language-level guarantees remain difficult to reason about. Existing programming models often leave unclear which threads participate in subgroup operations, when subgroup threads are required…

  • UC Santa Cruz Premed Cohorts and DIY Info Session

    UC Santa Cruz Premed Cohorts and DIY Info Session

    Join theĀ UC Santa Cruz Premed Postbacc ProgramĀ for an informative, live online session designed for students, parents, and anyone exploring pathways into medicine, public health, and other health professions. In this discussion, we’ll provide a comprehensive overview of premed and pre-health programs to help you understand your options and choose the path that best aligns with…

  • Shen, G. (CSE) – Library-Level Choreographic Programming

    Shen, G. (CSE) – Library-Level Choreographic Programming

    Modern software increasingly relies on distributed systems to provide accessible, scalable, and reliable services. Choreographic programming brings a global perspective to distributed system development: programmers write a single program that describes the behavior of a whole system, and a compiler projects that global description into local programs run by each node. By making distributed control…

  • Lietz, R. (CM) – Reflecting on Failure: Designing and Evaluating Archetype Profiles as a Tool for Self-Reflection

    Lietz, R. (CM) – Reflecting on Failure: Designing and Evaluating Archetype Profiles as a Tool for Self-Reflection

    Self-reflection holds significant potential for learning, behavior change, and emotional processing, yet designing technologies that effectively support it remains challenging, particularly when reflection involves difficult experiences such as failure. Most current technologies avoid negative experiences altogether, leaving users without support at precisely the moments when reflection could be most valuable. This dissertation investigates how technology…

  • AI Trends in Project Management

    AI Trends in Project Management

    Build the skills organizations need most Skilled project and program managers remain in demand across many industries as organizations seek professionals who can plan strategically, manage risks, and deliver results on time and on budget. Learn what drives successful teams and projects During this interactive online session, you’ll learn about key roles in project and…

  • Xie, Y. (CM) – Crop Circles of Play: Forces and Formation in the Dyadic Magic Circle

    Xie, Y. (CM) – Crop Circles of Play: Forces and Formation in the Dyadic Magic Circle

    Cooperative two-player play produces distinctive social experiences between players: intimacy, trust, cooperation, communitas. Since Huizinga, the frame within which these experiences arise has been called the Magic Circle: a temporarily-set-apart space through which play does its social work. It has been a central organizing concept across game studies, performance theory, and HCI because it points…

  • Ortiz Barbosa, D. (CSE) – HARDENING AUTONOMOUS CYBER-PHYSICAL SYSTEMS AGAINST ADVERSARIAL CONDITIONS

    Ortiz Barbosa, D. (CSE) – HARDENING AUTONOMOUS CYBER-PHYSICAL SYSTEMS AGAINST ADVERSARIAL CONDITIONS

    Autonomous systems, such as Autonomous Vehicles (AVs) and drones, are increasingly deployed across a wider array of contexts for both civilian and military use. As these systems become more common, they may be targeted by malicious actors seeking to exploit and abuse them, compromising safety-critical operations. Among the ways to protect these systems simulation based…

Last modified: May 28, 2026