Audience: Graduate Students
-
Chambers, K. (BMEB) – Using Genomics and Artificial Intelligence to improve prognosis for osteosarcoma patients
Transcriptomic profiling has been transformative in pediatric oncology. Pediatric cancers arise from disrupted developmental programs. Their impaired transcriptional states reflect cell lineage infidelity, aberrant differentiation, and immune-microenvironment interactions distinct from […]
-
Research Lunch & Learn: NAGPRA, CalNAGPRA, and UC Repatriation policy overview
This presentation provides an overview of the Native American Graves Protection and Repatriation Act (NAGPRA) and UCSC’s responsibilities in compliance with federal law, CalNAGPRA state-specific law, and the UCOP policy […]
-
User Experience and Web Design info session
Design digital experiences people love to use. In today’s rapidly evolving tech landscape, organizations need professionals who can combine empathy, usability, and aesthetics to create interfaces that engage and delight […]
-
Medical Device Quality and Design Info Session
Advance your career in medical device design and quality. As healthcare technology evolves, professionals who understand global regulatory standards, risk management, and quality systems are in high demand. Learn how […]
-
Data Science and Analytics Info Session
Data analysts are in high demand Even as hiring slows in certain tech sectors, organizations across industries are actively seeking professionals with data expertise. The ability to extract insights from […]
-
AI Business Practices Info Session
Transform your workplace with practical AI skills. In an era of rapid digital change, non‑technical professionals need to know how to deploy AI tools and strategies efficiently—without needing to code. […]
-
Wang, Y. (CSE) – Toward Practical and Effective Large Language Model Unlearning
The growing integration of Large Language Models (LLMs) into real-world applications has heightened concerns about their trustworthiness, as models may reveal private information, reproduce copyrighted content, propagate biases, or generate […]
-
Jamilan, S. (CSE) – Profile-guided Compiler Optimizations for Data Center Workloads
Modern applications, such as data center workloads, have become increasingly complex. These applications primarily operate on massive datasets, which involve large memory footprints, irregular access patterns, and complex control and […]
-
Singh, A. (ECE) – Quantum Key Distribution Using Entangled Pairs with Random Grouping
Quantum Key Distribution (QKD) provides information-theoretic security for cryptographic key establishment, but existing protocols exhibit limited noise tolerance, restricting their applicability in practical quantum channels with finite resources. This work […]
-
Garg, S. (CSE) – MAPPING ANNOTATIONS FROM NETLIST TO SOURCE CODE
Hardware design flows have become increasingly complex as modern chips integrate billions of transistors and rely on aggressive synthesis optimizations to meet performance, area, and power targets. While these transformations […]