Adrian Aguilera | Research UC Berkeley

Research Expertise and Interest

mobile technology (mHealth) and mental health, digital health, Latino & minority mental health, health disparities, cognitive-behavioral therapy for depression, machine learning, user centered design, implementation science

Research Description

Dr. Aguilera’s research emphasizes digital health equity, utilizing digital technologies to improve health and mental health in low-income and underserved populations, with a specialty working with Latinx populations. He develops, tests and implements digital mental health interventions based in cognitive behavioral therapy with a focus on depression and related chronic illnesses most often treated in primary care and community settings. He utilizes innovative methods such as machine learning and AI to ensure broad applicablity of digital health tools.

In the News
Featured in the Media
Teaching

In the News

People voting in the Bronx borough of New York.

America on edge: Berkeley scholars’ early election thoughts

UC Berkeley scholars awoke Wednesday, Nov. 4 to signs of a deeply divided U.S. electorate, and no blue wave on the horizon. Despite a surge in early voting, ballots were still being counted in several battleground states. As of noon that day, the race between President Donald Trump and his Democratic challenger Joe Biden remained too close to call.

Berkeley Conversations: COVID-19: Digital and telehealth implications of COVID-19 and social distancing

Mirroring the dramatic uptick in digital interaction, University of California-affiliated health centers have seen a 1000% increase in telehealth since the beginning of the pandemic, UC Berkeley health experts said.

Text messages - even automated ones - can soothe the disconnected soul

Text messaging often gets a bad rap for contributing to illiteracy and high-risk behavior such as reckless driving. But a Berkeley social-welfare professor has found an upside to texting, especially for people who feel stressed out, isolated and alone.

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