Amia Graye
Baltimore
Summary
Offering solid foundation in research principles and keen interest in developing within research environment. Contributes strong analytical mindset and ability to learn and apply new research techniques quickly. Ready to use and develop data analysis and literature review skills in Data Analyst role at Mount Sinai.
Overview
4
4
years of professional experience
Work History
Data Analysis Research Assistant
Johns Hopkins School of Medicine
01.2025 - Current
- Worked under the advisement of Dr. Kristin Riekert and Tia Joy Woo in the Success With Therapies Research Consortium within the Cystic Fibrosis Foundation and the Johns Hopkins School of Medicine Pulmonary Department
- Conducted literature reviews to support research projects and inform experimental design.
- Created, built, and maintained databases, records, and files.
- Assisted in data collection, coding, and analysis using R statistical software to ensure accuracy and reliability.
- Responsible for data quality control and data error reporting for public health studies.
- Generate reports, charts, tables, and presentations for data and clinical teams.
Postbaccalaureate Research Fellow
Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health
07.2023 - 08.2024
- Worked under the advisement and mentorship of Dr. Dong-Yun Kim, a veteran mathematical statistician at the Office of Biostatistics Research (OBR).
- Researched specific application usage for sequential probability ratio test (SPRT) and other sequential monitoring tests to outline the best methods clinicians can use to improve their sequential monitoring results.
- Conducted data analysis for a Cardiac Magnetic Resonance (CMR) lab led by Dr. Marcus Carlsson for the effectiveness of MRI scanning in the cardiovascular system.
- Collaborated with Dr. Kim on a presentation titled "Why sex matters: Recent developments in gender-based research toward personalized medicine" about the importance of sex as a covariate in clinical trials for a women's conference in South Korea.
- Attending weekly meeting with the OBR group, discussing a variety of intramural clinical trials, specific research methodology and applications for the trials, and real issues and research OBR staff members are given.
- Enrolled in a Python course at NHLBI where I learned beginner and advanced code and techniques.
Undergraduate Research Assistant
Georgetown University Undergraduate Research Opportunities Program
01.2022 - 04.2023
- Working with Professor Kimberly Sellers and Professor Mark Meyer to research various prior distributions and their impact in modeling Conway-Maxwell Poisson distributed data.
- Ran model simulations of various forms of over- and under-distributed data with conjugate priors under different parameter values, along with consideration for a noninformative prior and Jeffrey's prior, respectively.
- Assessed performance based on statistical measures including bias, mean squared error, coverage probability, and variance.
Summer Program Research Participant
Harvard T.H. Chan School of Public Health
06.2022 - 08.2022
- Participated in classes regarding programming in R and Python, data science, and biostatistics; attended presentations from leading researchers in biostatistics about their research studies; and conducted collaborative research in a project team led by Professor Briana Stephenson and graduate student Carmen Rodriguez Cabrera.
- Conducted research on ovarian cancer disparities in Massachusetts based on biological patterns and socioeconomic status.
- Performed Box-Cox transformations, K-Means clustering analysis, and an ANOVA test to determine if there were any statistically significant differences between ovarian cancer and socioeconomic status.
- We met three times a week within our group to discuss findings, interpretations, and future tasks for the project and met once a week with our lead graduate student and lead graduate professor to present our research.
- Presented research findings to Harvard TH Chan biostatistics faculty and students.
Education
ScM - Biostatistics
Johns Hopkins Bloomberg School of Public Health
Baltimore, MD05.2026
Bachelor of Arts (B.A.) - Mathematics
Georgetown University
Washington, DC05.2023
Skills
- Microsoft Suite
- R
- Python
- LaTeX
- Independent research
- Research methodology
- Data management
- Data visualization
- Data collection
- Statistical analysis
- Literature reviews
- Database management
- Problem Solving
- Teamwork
- Communication
PUBLICATIONS
- Stephanie Alimena, Briana Joy K. Stephenson, James W. Webber, Laura Wollborn, Chad B. Sussman, Daniel George Packard, Marta Williams, Cameron Elizabeth Comrie, Joyce Y. Wang, Tahrieh Markert, Julia Spiegel, Carmen B. Rodriguez, Maya Lightfoot, Amia Graye, Sean O'Connor, Kevin M. Elias; Differences in Serum miRNA Profiles by Race, Ethnicity, and Socioeconomic Status: Implications for Developing an Equitable Ovarian Cancer Screening Test. Cancer Prev Res (Phila) 1 April 2024; 17 (4): 177–185. https://doi.org/10.1158/1940-6207.CAPR-23-0156
- Mark J. Meyer, Amia Graye, and Kimberly F. Sellers. On Non- and Weakly-Informative Priors for the Conway-Maxwell-Poisson (COM-Poisson) Distribution. Under review. (Available online at http://arxiv.org/abs/2311.18053)
Timeline
Data Analysis Research Assistant
Johns Hopkins School of Medicine
01.2025 - Current
Postbaccalaureate Research Fellow
Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health
07.2023 - 08.2024
Summer Program Research Participant
Harvard T.H. Chan School of Public Health
06.2022 - 08.2022
Undergraduate Research Assistant
Georgetown University Undergraduate Research Opportunities Program
01.2022 - 04.2023
Bachelor of Arts (B.A.) - Mathematics
Georgetown University
ScM - Biostatistics
Johns Hopkins Bloomberg School of Public Health