プロフィール詳細

プロジェクトを作成

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Ryan F.に依頼

United States

PhD Data Scientist | Biostatistics, Epidemiology & Public Health Analysis

プロフィール概要

I hold a PhD in Biomedical Sciences with a concentration in Systems and Computational Biology. My research experience spans microbiome biomarker discovery, infectious disease modeling, and public health data analysis. I’ve worked with large clinical and surveillance datasets to study microbial ecology, SARS-CoV-2 variant dynamics, and the impact of health policy interventions on population outcomes. I specialize in statistical modeling, time-series analysis, and real-world data using Python, R, and SQL. My work has supported epidemiological publications, program evaluations, and interdisciplinary collaborations with clinicians and public health researchers. I’m also experienced in agent-based modeling, machine learning, and visualizing complex results for scientific communication.

専門分野

• ★ Biostatistics
• ★ Bioinformatics
• ★ Epidemiology

サービス

• Writing
• Data & AI

Writing Technical Writing

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Processing, Data Insights

職務経験

Postdoctoral Researcher

Johns Hopkins Bloomberg School of Public Health

2月 2025 - 現在

AI evaluator

Remotasks

12月 2023 - 7月 2024

Adjunct Professor

John Jay College of Criminal Justice

8月 2022 - 12月 2022

Research Traineeship

Albert Einstein College of Medicine

6月 2018 - 6月 2019

学歴

PhD

Albert Einstein College of Medicine

8月 2019 - 7月 2024

認定資格

• Advanced AI: NLP Techniques for Clinical Datasets

  LinkedIn

  https://www.linkedin.com/learning/certificates/613233e041c2af974b02567620379acea818ef6364da594a4c224853bb375e2b?trk=share_certificate

  9月 2024 - 現在

• Natural Language Processing Specialization

  coursera

  https://www.coursera.org/account/accomplishments/specialization/certificate/VVL8DGLEEJ7E

  7月 2023 - 現在

• AI for Medicine Specialization

  coursera

  https://www.coursera.org/account/accomplishments/specialization/certificate/SB67FVXNJ8KG

  5月 2023 - 現在

• Deep Learning Specialization

  coursera

  https://www.credly.com/badges/8f2a130c-05c5-428b-ac6e-a6c9940daf1b/linked_in_profile

  5月 2023 - 現在

出版物

JOURNAL ARTICLE

Ryan Forster, Anthony Griffen, Johanna P Daily, Libusha Kelly (2024). Community-level variability in Bronx COVID-19 hospitalizations associated with differing population immunity during the second year of the pandemic . Virus Evolution.

Ryan Forster, J. Maximilian Fels, Saad Khan, Karin A. Skalina, Surksha Sirichand, Amy S. Fox, Aviv Bergman, William B. Mitchell, Lucia R. Wolgast, Wendy Szymczak, et al. (2022). Genomic surveillance of SARS-CoV-2 during the first year of the pandemic in the Bronx enabled clinical and epidemiological inference . Molecular Case Studies.