Profile Details

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Hire Makeda S.

United States

USD 75 /hr

Computational Biologist | Genomics, Machine Learning & Biomarker Discovery | M.S. Johns Hopkins | NSF Fellow

Profile Summary

Computational biologist, M.S. Johns Hopkins, NSF Fellow. Bayesian NMF (scCoGAPS), transfer learning (ProjectR, Tricycle), single-cell RNA-seq, biomarker discovery, R/Python pipeline development. Cross-species multi-omics integration across human, mouse, and zebrafish. Background also spans iPSC disease modeling and GMP manufacturing.

Subject Matter Expertise

• ☆ Computational Biology
• ☆ Biostatistics
• ☆ Biochemistry
• ☆ Molecular Biology
• ☆ Biomarkers
• ☆ Genetics
• ☆ PCR
• ☆ Gene Expression Analysis
• ☆ Cell Biology
• ☆ Cell-Based Assays
• ☆ Cell Signaling Pathways
• ☆ Membrane Biology
• ☆ Gene Regulation
• ☆ Stem Cell Research
• ☆ Neuroscience
• ☆ Computational Neuroscience
• ☆ Neurobiology
• ☆ Biotechnology & Bioengineering
• ☆ Biomedical Engineering
• ☆ Bioprinting
• ☆ Data Analysis
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Collection
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Data Cleaning
• ☆ Statistics
• ☆ Applied Statistics
• ☆ Comparative Analysis
• ☆ Regression Analysis
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ Systems Biology
• ☆ Biomarker Discovery
• ☆ Cell Culture
• ☆ Primary Cells
• ☆ Cell Banking
• ☆ Large Scale Cell Culture
• ☆ Cell Surface Receptors
• ☆ Tissue Engineering
• ☆ Python
• ☆ Matlab
• ☆ Excel
• ☆ LaTex
• ☆ R
• ☆ Markup Languages

Services

• Writing
• Research
• Consulting
• Data & AI

Writing Medical Writing, Technical Writing, Copywriting

Research Fact Checking, Gap Analysis, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Data Cleaning, Data Processing, Data Insights

Work Experience

Research Associate

Johns Hopkins University School of Medicine

August 2016 - December 2025

Strategy and Operations Fellow

BorgWarner

April 2016 - September 2016

Strategic Consultant

FABLabs for America

January 2010 - January 2016

Bioinformatics software engineer

Broad Institute of MIT and Harvard

June 2012 - September 2012

Education

M.Sc. (by Research) Biomedical Engieering

Johns Hopkins

January 2023 - December 2025

Bachelors of Science in Biomedical Engieering

Wentworth Insitute of Technology

September 2011 - May 2015

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Makeda Stephenson, Daniel H Reich, Kenneth R Boheler(2020). Induced pluripotent stem cell-derived vascular smooth muscle cells . Vascular Biology. 2. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString R1--R15. Bioscientifica

Grayson, W., Stephenson, M.(2018). Recent advances in bioreactors for cell-based therapies [version 1; referees: 2 approved] . F1000Research. 7.

Stephenson, M.K., Farris, A.L., Grayson, W.L.(2017). Recent Advances in Tissue Engineering Strategies for the Treatment of Joint Damage . Current Rheumatology Reports. 19. (8).

CONFERENCE PAPER

Slaoui, I., Stephenson, M.K., Rauf, H.A., Dow, D.E., Shady, S.S.(2015). Stress analysis of bone scaffold designed for segmental bone defects . ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE). 3-2015.

Stephenson, M.K., Dow, D.E.(2014). The community FabLab platform: Applications and implications in biomedical engineering . 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1821-1825.