Research Data Analyst
UCSF
I am a biostatistician working at the interface of data science and translational biomedical research. My academic background spans public health and cognitive neuroscience, which I pursued as a double major during my undergraduate studies. Following my bachelor’s degree, I joined the tech industry as a data analyst at Meta, where I led data collections and analysis efforts to support product development for Oculus virtual reality devices. This experience honed my skills in managing large-scale data systems and applying analytical insights to real-world innovation.
Motivated by a desire to return to research and public health, I pursued a Master of Public Health in Epidemiology and Biostatistics at the University of California, Berkeley. During my time at Berkeley, I served as a Graduate Student Instructor for an introductory biostatistics course in public health and biology.
With a longstanding interest in neuroscience, I joined the Ferguson Lab in the Department of Neurological Surgery at UCSF, where I currently serve as the lab’s biostatistician. In this role, I support both pre-clinical and clinical research efforts, applying advanced statistical methods to analyze complex datasets related to spinal cord and traumatic brain injuries. I collaborate closely with neurosurgeons, clinicians, and research scientists to design studies, select appropriate analytical frameworks, and ensure methodological rigor. I contribute to long-term research planning, including statistical components of grant proposals, and lead the generation of statistical visualizations and reports for manuscripts and scientific presentations.
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