Epstein Family ATRI

About the Program

The Epstein Family Alzheimer’s Therapeutic Research Institute (ATRI) Summer Research Program at the University of Southern California’s Epstein Family Alzheimer’s Therapeutic Research Institute (ATRI) is an eight-week, full-time, in-person, immersive, mentor-guided summer research training program.

Students accepted to the program will work closely with and learn from an internationally renowned, multi-disciplinary team of scientists, researchers, and staff members at the Epstein Family ATRI.

In addition, students will participate in AD clinical trials focused lecture series, workshops, and team meetings to develop competencies in AD clinical trials research and trials operations, professionalism, effective science communication and presentation skills.

The overarching goal of the program is to increase the number of highly motivated students who are interested in considering a career in Alzheimer’s Disease (AD) clinical trials.

All accepted students will receive a compensation of $25.00/hr and be expected to work 40 hrs/week. Students have the opportunity to gain direct experience through the following program tracks.

UNDERGRADUATE STUDENTS TRACK

This track is open to undergraduate students, in their Junior and Senior years only. Students will engage in AD clinical trials research under the supervision of a faculty member, learning how to develop and investigate a specific research question. Opportunities are open with the following teams:

  • Biostatistics
  • Recruitment & Retention Science
  • Translational Neuroscience and Basic Science (Wet Labs) with the Neuroscience Translational Research Division

GRADUATE STUDENTS TRACK

This track is open to graduate students only. This track aims to introduce graduate students to career opportunities in AD clinical trials operations and further their professional experience. Students will be asked to complete a summer project with their assigned mentor in one of the following functional areas:

  • Biostatistics
  • Clinical Operations
  • Data Management
  • Informatics
  • Neuroscience Translational Research Division (Wet-Lab)

Application Process & Program Requirements

  • Must be legally authorized to work in the United States.
  • Must be currently enrolled in an undergraduate or graduate program in the United States
  • Students graduating in June 2026, not enrolled for a Fall 2026 term, are not eligible for the program.
  • Additional eligibility criteria for each field of study and section of interest are listed in the application portal.
  • In-person attendance is required for the entirety of the program.
  • Students must comply with San Diego County’s COVID-19 and general safety and health regulations.
  • Only complete applications will be reviewed.
  • A complete application will require the following attachments:
    • Resume/CV
    • We recommend having these attachments ready before starting an application.
  • Applications will not be reviewed until after the application deadline has passed.
  • Admission decisions will be released in March 2026.
  • Please review all the section descriptions and eligibility criteria carefully before selecting your section of interest.
  • You can apply to only one section of interest. Please do not submit multiple applications.
  • The application will not save partially completed sections and will not allow you to make any corrections once submitted.
  • If your circumstances have changed and you wish to withdraw your application, please notify the Program Coordinator as soon as possible.
  • The Epstein Family ATRI does not provide housing or living stipends to students for this Program.
  • Students will be responsible for their own housing arrangements.
  • Accepted students will be given resources about housing options in San Diego.

Alumni

Arnav Bhathia

Section: Biostatistics

Project: Characterizing Enrollment Patterns in Screening Data in a Preclinical Alzheimer’s Disease Trial

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Johanna Jansen

Section: Biostatistics

Project: Characterizing Enrollment Patterns in Screening Data in a Preclinical Alzheimer’s Disease Trial

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Peike Li

Section: Biostatistics

Project: Using a Risk-Based Monitoring Approach (RBM) to Monitor Site Performance in Clinical Trials

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Romina Foroudi

Section: Recruitment, Engagement, and Retention

Project: Evaluation of Transportation Use for Alzheimer’s Clinical Studies

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Asim Wahab

Section: Recruitment, Engagement, and Retention

Project: Evaluation of Transportation Use for Alzheimer’s Clinical Studies

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Adam Glasser

Section: Recruitment, Engagement, and Retention

Project: Relationship of Plasma Biomarkers to Alzheimer’s Disease Neuropatholog in Transgenic Mice

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Srinath Begudem

Section: Data Management

Project: Optimizing Clinical Big Data Reporting: A Performance Comparison of CSV, Parquet

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Runhan Chen

Section: Data Managment

Project: Beyond Numbers: A Comprehensiv Analysis and Visualization of MIND Study Enrollment Data

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Annie Sun

Section: Biostatistics

Project: Building the Infrastructure for Final Analyses of an AD Randomized Clinical Trial: A Framework for the MIND Study

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Zihang Yu

Section: Biostatistics

Project: Building the Infrastructure for Final Analyses of an AD Randomized Clinical Trial: A Framework for the MIND Study

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Jason Lavoe

Section: Recruitment, Engagement, and Retention

Project: Cognitive Clicks: Enhancing Online Efficacy Through Website Evaluation

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Christian Navarro

Section: Biostatistics

Project: Can the Type of Trial Site Affect the Conduct of a Preclinical Randomized Controlled Trial?

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Zara Kotadiya

Section: Biostatistics

Project: Can the Type of Trial Site Affect the Conduct of a Preclinical Randomized Controlled Trial?

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Khary Lewis II

Section: Recruitment & Retention

Project: Identifying Recruitment Strategies for Hospice-eligible Population Utilizing Personas and Multi-Media Strategies

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Sri Manvith Vaddeboyina

Section: Data Management (Clinical Research Informatics/Imaging Informatics)

Project: Data Visualization of Clinical Study
Management Activities

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Naga Harshita Marupaka

Section: Clinical Research Informatics/Imaging Informatics

Project: Machine Learning –Speech Recognition for Cognitive Sciences

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Winnie Mei

Section: Biostatistics

Project: Data Standardization and Statistical Visualization for Study Oversight and Management

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Akash Patel

Section: Clinical Operations

Project: Operationalizin Study Management through Site Performance Metrics, Risk Mitigation, and Clinical Trials Training

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Youlan (Cassie) Shen

Section: Biostatistics

Project: Data Standardizatio and Statistical Visualization for Study Oversight and Management

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Seda Shirinian

Section: Recruitment, Engagement, and Retention

Project: Increasing Recruitment of Underrepresented Groups Through Webpage Optimization

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Silvestre Cortes

Section: Recruitment, Engagement, and Retention

Project: Site Metrics Database & APT Webstudy Newsletter

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Zhuolun Huang

Section: Biostatistics

Project: Data-Driven Approach to Clinical Trial Recruitment (DART) Recruitment Reports

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Nikhil Nagarapu

Section: Clinical Research Informatics/Imaging Informatics

Project: Optical Character Recognition (OCR) for Case Report Forms

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Jiayi Nie

Section: Biostatistics

Project: Interactive Web-based Visualization Platform for AHEAD 3-45 Enrollment Data

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Ashok Reddy

Section: Recruitment, Engagement, and Retention

Project: Designing and Canvasing for a Comprehensive Vendor Database

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Momtaza Sayd

Section: Biostatistics

Project: Development of Study Recruitment Metrics Database

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Nina Suh-Toma

Section: Recruitment, Engagement, and Retention

Project: Designing an Evidence-based Digital Campaign for the Alzheimer’s Prevention Trial (APT) Webstudy

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Sanjana Vasireddy

Section: Clinical Monitoring

Project: Clinical Monitoring Metrics

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