The Lab & Other Team Members
Current Lab Members
Please note that many students collaborate, work on projects I mentor, or are otherwise affilliated with the lab. There are too many to list all of them, so I focus here on full time lab members leading research projects. Please don't feel left out if you've been left off!
Benjamin Smarr is an assistant professor in the department of Bioengineering, with a 50% appointment to the Halicioglu Data Science Institute. He seeks to accelerate positive social change enabled by the advent of abundant human time series data.
Patrick Kasl is a PhD candidate in Bioengineering. He is researching how physiological time series data describe individual responses to stressors.
Lauryn (Keeler) Bruce is a PhD student in the Biomedical Informatics and Systems Biology program and is co-advised by Dr. Lucila Ohno-Machado. After earning a M.S. in Biomedical Informatics at San Diego State University, she worked in a clinical oncology diagnostics lab as a Bioinformatics Scientist. Lauryn is currently working on projects that focus on time series analyses of wearable device data and cancer prevalence statistics within the All of Us database.
Severine Soltani is a PhD student in the Biomedical Informatics program. She is developing tools for detecting environmental perturbations on individual's physiology, to allow for broad, passive detection of pollutants and related risk factors.
Varun Viswanath is a PhD student in EECS, co-advised by Prof. Edward Wang in the UCSD Design School. Varun is researching dynamic baseline characterizations, and implications for improved diagnostics and privacy.
Shreenithi Navaneethan is an undergraduate student at UCSD in the Bioengineering: Bioinformatics program. Her research focuses on detecting physiological diversity in wearable device data, particularly on how diabetes manifests itself and what implications this may have in diagnosis and treatment.
Jacob Ryan is an undergraduate student at UCSD in the Data Science program. His work focuses on classifying different manifestations of disrupted physiology to enable more precise targeting of disruption-specific classifiers, and to quantify complexity in human physiological spaces.
UCSD Collaborating Organizations