プロフィール詳細

プロジェクトを作成

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Dr. Adam S.に依頼

Germany

Freelance bioinformatician with expertise in Microbiome research | R and Data visualisation

プロフィール概要

Currently working as a postdoc in the microbiome field, studying the gut-brain axis. I offer consulting and assistance with analysis and visualization of biological data. Passionate about reproducible and open science.

専門分野

• ★ Microbiome Research
• ★ Data Visualization
• ★ Bioinformatics
• ☆ Microbiology
• ☆ Biostatistics
• ☆ Molecular Biology
• ☆ Omics
• ☆ Lipidomics
• ☆ Metabolomics
• ☆ Genomics
• ☆ Data Analysis
• ☆ Gene & Protein Expression Analysis
• ☆ Systems Biology
• ☆ Pathogenesis
• ☆ Clinical Microbiology
• ☆ Python
• ☆ R
• ☆ Human Biology
• ☆ Technical & Scientific Writing
• ☆ Journal Selection
• ☆ Manuscript & Journal Article Writing
• ☆ Experimental Protocols
• ☆ SOP & Protocol Writing
• ☆ Science Communication

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing, Copywriting, Newswriting

Research Meta-Research, Feasibility Study, Fact Checking, Gap Analysis, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Data Visualization, Big Data Analytics, Data Processing

職務経験

Postdoctoral Fellow

LMU

4月 2021 - 現在

Ludwig-Maximilians-Universität München

2021 - 現在

学歴

PhD (ZIEL)

Technische Universität München

10月 2016 - 現在

MSc Infection Biology (Institute of Infection, Immunity and Inflammation)

University of Glasgow

9月 2015 - 8月 2016

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Adam Sorbie, Rosa Delgado Jiménez, Monica Weiler, Corinne Benakis (2023). Protocol for microbiota analysis of a murine stroke model . STAR Protocols.

Sorbie, A., Delgado Jiménez, R., Benakis, C.(2022). Increasing transparency and reproducibility in stroke-microbiota research: A toolbox for microbiota analysis . iScience. 25. (4).

(2020). Validity of machine learning in biology and medicine increased through collaborations across fields of expertise . Nature Machine Intelligence.

Littmann, M., Selig, K., Cohen-Lavi, L., Frank, Y., Hönigschmid, P., Kataka, E., Mösch, A., Qian, K., Ron, A., Schmid, S., et al.(2020). Validity of machine learning in biology and medicine increased through collaborations across fields of expertise . Nature Machine Intelligence. 2. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 18-24.

Adam Sorbie, Olivia I. Coleman, Elena M. Lobner, Sandra Bierwirth, Nadine Waldschmitt, Eva Rath, Emanuel Berger, Ilias Lagkouvardos, Thomas Clavel, Kathleen D. McCoy, et al.(2018). Activated ATF6 Induces Intestinal Dysbiosis and Innate Immune Response to Promote Colorectal Tumorigenesis . Gastroenterology. 155. (5). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1539--1552.e12. Elsevier {BV}

Coleman OI, Lobner EM, Bierwirth S, Sorbie A, Waldschmitt N, Rath E, Berger E, Lagkouvardos I, Clavel T, McCoy KD, et al.(2018). Activated ATF6 Induces Intestinal Dysbiosis and Innate Immune Response to Promote Colorectal Tumorigenesis . Gastroenterology.

Coleman, O.I., Lobner, E.M., Bierwirth, S., Sorbie, A., Waldschmitt, N., Rath, E., Berger, E., Lagkouvardos, I., Clavel, T., McCoy, K.D., et al.(2018). Activated ATF6 Induces Intestinal Dysbiosis and Innate Immune Response to Promote Colorectal Tumorigenesis . Gastroenterology. 155. (5). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1539-1552.e12.