Person
Amanda La Venture

Amanda La Venture

Principal Public Administration Analyst, Division of General Internal Medicine and Health Services Research

Amanda La Venture, Administrative Director for DOMStat, specializes in business operations, program management, financials, and strategic planning.

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Angelique Rubio

Statistician, Division of General Internal Medicine and Health Services Research

Angelique, a 2024 UCLA graduate, works at DOMStat on data management, analysis, and reporting with R and STATA.

Person
Angshuman Saha

Angshuman Saha

Senior Statistician, Division of General Internal Medicine and Health Services Research

Dr. Angshuman Saha, a senior statistician at UCLA, has 25+ years of experience in machine learning, statistical modeling, and medical imaging.

Person
Arseniy Vasilyev

Arseniy Vasilyev

Statistician, Division of General Internal Medicine and Health Services Research

Arseniy, a UCLA statistician since 2017, specializes in public health policy, economic impact, and large database development.

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Byron Rivera

Administrative Assistant, Division of General Internal Medicine and Health Services Research

Byron is DOMStat's Administrative Assistant, handling calendar management, data entry, inquiry triaging, and customer service.

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Christine Marie Castle

Christine Marie Castle

Statistician, Division of General Internal Medicine and Health Services Research

Christine Marie Castle, a statistician at UCLA, supports research with database management, data analysis, reporting, and REDCap development.

Person
Claudia Perez

Claudia Perez

Statistician, Division of General Internal Medicine and Health Services Research

Claudia Perez, a statistician at UCLA, specializes in data analysis and management with R, SAS, SQL, and RedCap, and has worked on FDA and NIH projects.

Person
Daniela Markovic

Daniela Markovic

Principal Statistician, Division of General Internal Medicine and Health Services Research

Daniela Markovic is a Principal Statistician at UCLA, specializing in data analysis, prediction modeling, and clinical trials across diverse biomedical fields.

Person
Dennis Ruenger

Dennis Ruenger

Principal Statistician, Division of General Internal Medicine and Health Services Research

Dr. Ruenger, a cognitive psychology Ph.D., joined DOMStat in 2019 after postdocs at UCSB, USC, and research at Friends Research Institute.

Person
Eric Demer

Eric Demer

Statistician, Division of General Internal Medicine and Health Services Research

Dr. Demer, a Statistician at UCLA, specializes in study design and Bayesian priors to enable model comparisons in complex settings.

Person
Estefania Ramires-Sanchez

Estefania Ramires-Sanchez

Statistician, Division of General Internal Medicine and Health Services Research

Ramires-Sanchez, a DOMStat member since 2017, specializes in clinical trial surveys, data repositories, multi-site projects, and database quality management.

Person
Holly Wilhalme

Holly Wilhalme

Principal Statistician, Division of General Internal Medicine and Health Services Research

Holly Wilhalme, a Principal Statistician at DOMStat, specializes in health research, clinical trials, and statistical consulting across diverse medical fields.

Person
Jeffrey Gornbein

Jeffrey Gornbein

Principal Statistician, Division of General Internal Medicine and Health Services Research; Professor, Department of Computational Medicine

Dr. Gornbein, Professor at UCLA, specializes in biostatistics, with over 150 publications and collaborations across academia, industry, and public health.

Person
Jenny Brook

Jenny Brook

Computing Resource Manager II, Division of General Internal Medicine and Health Services Research

Jenny Brook, Principal Statistician at UCLA since 2000, provides hands-on and theoretical statistical support for faculty and graduate research projects.

Person
Jinhhui Liu

Jinhui Liu

Research Data Analyst, Division of General Internal Medicine and Health Services Research

Jinhui Liu, a research data analyst at UCLA DOMStat, supports research with Python, R, and SQL, focusing on data visualization and machine learning.