How two UCOP staff members are using AI to support complex work
Across the University of California, staff are finding practical and responsible ways to use AI to support complex work. For two AI users at UCOP — Lucy Chang at UC Investments and Adrian Mohuczy‑Dominiak in Systemwide Cybersecurity — AI has become a tool that extends human expertise and eases research, analysis and coordination, freeing up time for judgment and collaboration.
Allowing for more thoughtful work
Lucy Chang is an investment officer at UC Investments, which helps manage the university’s endowment, capital and private equity portfolios. Working in data‑rich investment environments, Lucy has primarily leveraged AI to support her research and writing. AI enables her to synthesize large volumes of information more efficiently, deepen her analysis and produce strong first drafts of investment memos more quickly.
The biggest impact, she notes, is not doing less work, but doing more thoughtful and high-value work, which has made her work even more fun. By reducing time spent on initial synthesis and drafting, Lucy can focus more on judgment: asking the right questions, evaluating risk and deepening relationships with managers and partners. AI also helps her prepare for higher‑level, strategic conversations, allowing her to present more confidently.
Improving systemwide notifications
For Adrian Mohuczy-Dominiak, UC’s Systemwide Cybersecurity Threat and Risk Manager, AI has become a valuable thought partner in coordination-heavy, time-sensitive work. Adrian’s role requires tracking risk and coordinating incident management across many UC locations, often involving large volumes of information and tight timelines.
He has used AI as a thought partner to explore potential solutions and create automations, and to assist with incident response, when speed and clarity matter. In cybersecurity, understanding what data was exposed — and what risks matter most — is critical. AI has helped Adrian get ahead of those questions and support better-informed decisions at a systemwide level.
To learn more about Lucy and Adrian’s work with AI, or to submit your own successful project, visit UC Tech News!
Tags: Adrian Mohuczy-Dominiak, Lucy Chang, UC Tech News

