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Skip to main content UTSW CDRC mHealth (Mobile Health) Depression Monitoring in Daily Life What is mHealth? CDRC mHealth is an iOS and Android application complemented by a web-based administrative portal. By harnessing comprehensive active and passive data, this app delivers a holistic view of individuals grappling with anxiety and depression. Through this singular platform, clinicians can delve into the behavioral patterns and contextual circumstances of these patients, enabling them to

In prior work, my laboratory focused on identifying novel mechanisms of therapy-resistance and progression in breast, prostate and ovarian cancer. 

The major interest of my lab is to understand the transcriptional regulatory mechanisms involved in human diseases with a focus on cardiovascular diseases and cancer. 

My research interests include lipidomics, enzymology, drug discovery, and bioanalytical chemistry in the relation to ocular biochemistry, biophysics, and physiology. 

 In prior work, my laboratory focused on identifying novel mechanisms of therapy-resistance and progression in breast, prostate and ovarian cancer. 

Ancillary Studies Proposal for Acute Liver Failure Study Group

My research interests include lipidomics, enzymology, drug discovery, and bioanalytical chemistry in the relation to ocular biochemistry, biophysics, and physiology.

My research laboratory is in a unique position to investigate and develop treatments for several disease conditions which are of importance to public health. 

previous tutorial). Access to an HPC cluster with a scheduler (e.g., SLURM) and module system. Familiarity with the cluster’s storage layout (home, scratch, project directories). Step 1: Understand HPC Constraints HPC nodes may lack direct internet access; use login nodes or offline package downloads. System modules (e.g., pre-installed Python) can conflict with Conda/Mamba — load minimal modules. Home directories may have small quotas; store environments in project or scratch directories. Step 2: Set

My research includes in vivo two-photon imaging of structure and function to study how song circuits are organized and how they change during the song learning process.