People

Christopher Slade earned a Bachelor’s Degree in 2002 and a Master’s Degree in 2005 in Computer Science from Brigham Young University. He has been a professor at Brigham Young University—Hawaii since 2007, teaching Computer Science. He is currently working on his PhD under the direction of Dr. Peter Washington in the UCSF TECH Lab focusing on improving mobile adaptive health interventions. 

Sameer Neupane is a Ph.D. candidate in Computer Science at the University of Memphis. His research lies at the intersection of human-centered AI, digital health, and wearable sensing. He focuses on understanding real-world stressors and designing intelligent, personalized interventions using large language models (LLMs). His work explores just-in-time adaptive interventions (JITAI), stress detection, and human-AI interaction, with an emphasis on when and why users desire support.

Ali Kargarandehkordi is a PhD candidate in Computer Science at the University of Hawai‘i at Mānoa, with a research focus at the intersection of mobile sensing, artificial intelligence, and digital health. His work centers on developing personalized machine learning models using biosignal data from wearable devices (e.g., Fitbit) to detect and predict mental health conditions such as stress-induced blood pressure spikes, stress and anxiety, and substance use behaviors.

Jiaxin is a graduate student in the Master’s program in Health Data Science at UCSF. She holds a bachelor’s degree in Psychology and Brain Science, as well as Statistics and Data Science, from UCSB. Her research interests focus on how digital health records can be leveraged to support interventions for patients with complex health needs.

I am a UC Berkeley graduate in Data Science pursuing a second degree at UCLA in Computational and Systems Biology. I am interested in leveraging wearable technology data for individualized disease treatments across heart disease, diabetes, and hypertension. I hope to pursue medical school and integrate my research and clinical insights into individualized, effective patient care.

Dana is an undergraduate student at UC Berkeley. Her current research focuses on using wearable sensor data, clinical informatics, and large-scale public health datasets such as NHANES to improve disease prediction and risk modeling across a range of health conditions, including cardiovascular disease. 

https://micohan.github.io

Dr. Washington is Stella Roo's emotional support person, but it goes both ways.

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