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Hire Dr. Manuel Alejandro G.

Mexico

USD 60 /hr

PhD Computational Biologist | Data Science & Machine Learning for Omics and Biomedical Data | Part-Time (10–20 hrs/week)

Profile Summary

I am a PhD-trained computational biologist with a strong background in data science, molecular biology, and applied artificial intelligence. Over the past decade, I have worked with experimental in vitro research and complex biological and biomedical datasets, applying machine learning and statistical approaches to extract meaningful insights and support decision-making in life-science and health-related projects. I have hands-on experience using Python and R to build end-to-end data analysis pipelines, perform exploratory data analysis and visualization, and develop supervised and unsupervised machine learning models for applications in bioinformatics, cheminformatics, and translational research. My work bridges biological questions with modern computational methods, enabling robust interpretation of results in a biological context. I support biotech, pharmaceutical, and research-driven organizations through part-time, fully remote, and asynchronous consulting engagements (10–20 hours/week), focusing on data analysis, model development, and scientific interpretation.

Subject Matter Expertise

• ★ Computational Biology
• ★ Bioinformatics
• ★ Python
• ☆ Data Analysis
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Machine Learning
• ☆ Neural Networks
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Gene & Protein Expression Analysis
• ☆ Nutrition Science
• ☆ Tensorflow
• ☆ R
• ☆ Scikit-learn
• ☆ Drug Discovery
• ☆ Drug Target Identification
• ☆ Structure-Activity Relationship (SAR) Studies

Services

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing

Research Gap Analysis, Scientific and Technical Research, Systematic Literature Review

Consulting Healthcare Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-ML, Data Visualization, Data Cleaning, Data Processing

Work Experience

Postdoctoral Researcher

Leiden University/TNO

October 2021 - October 2024

Education

BSc Computer Science

Universidad Virtual del Estado de Guanajuato

March 2021 - Present

PhD Biomedical Sciences

Maastricht University

October 2016 - October 2020

MSc in Biomedical Sciences

Maastricht University

August 2014 - August 2016

BSc Human Nutrition

Universidad de Guanajuato, Campus León - Mexico

August 2007 - January 2013

Certifications

• Machine Learning Specialization

  Coursera/Stanford

  https://coursera.org/share/ffb03c59ed5ed5620467928bd7fb6118

  December 2024 - Present

Publications

JOURNAL ARTICLE

González Hernández, M. A., Venhorst, J., Verschuren, L., Toet, K., Caspers, M. P. M., Morrison, M. C., Coornaert, B., van Westen, G. J. P., & Hanemaaijer, R. (2025). Improved Translational Relevance of In Vitro Fibrosis Models by Integrating IOX2-Mediated Hypoxia-Mimicking Pathways. Biomedicines, 13(6), 1448. https://doi.org/10.3390/biomedicines13061448 .

González Hernández, M. A. et al. Identifying patient subgroups in MASLD and MASH-associated fibrosis: molecular profiles and implications for drug development. Sci. Rep. 14, 23362 (2024) .

González Hernández, M.A., Blaak, E.E., Hoebers, N.T.H., Essers, Y.P.G., Canfora, E.E., Jocken, J.W.E.(2021). Acetate Does Not Affect Palmitate Oxidation and AMPK Phosphorylation in Human Primary Skeletal Muscle Cells . Frontiers in Endocrinology. 12.

Hernández, M.A.G., Canfora, E.E., Blaak, E.E.(2021). Faecal microbial metabolites of proteolytic and saccharolytic fermentation in relation to degree of insulin resistance in adult individuals . Beneficial Microbes. 12. (3). p. 259-266.

González Hernández, M.A., Canfora, E.E., Pasmans, K., Astrup, A., Saris, W.H.M., Blaak, E.E.(2020). The relationship between circulating acetate and human insulin resistance before and after weight loss in the DiOgenes study . Nutrients. 12. (2).

Müller, M., Hernández, M.A.G., Goossens, G.H., Reijnders, D., Holst, J.J., Jocken, J.W.E., van Eijk, H., Canfora, E.E., Blaak, E.E.(2019). Circulating but not faecal short-chain fatty acids are related to insulin sensitivity, lipolysis and GLP-1 concentrations in humans . Scientific Reports. 9. (1).

Hernández, M.A.G., Canfora, E.E., Jocken, J.W.E., Blaak, E.E.(2019). The short-chain fatty acid acetate in body weight control and insulin sensitivity . Nutrients. 11. (8).

Jocken, J.W., Hernández, M.A.G., Hoebers, N.T.H., van der Beek, C.M., Essers, Y.P., Blaak, E.E., Canfora, E.E.(2018). Short-chain fatty acids differentially affect intracellular lipolysis in a human white adipocyte model . Frontiers in Endocrinology. 8. (JAN).

Cirillo, E., Kutmon, M., Hernandez, M.G., Hooimeijer, T., Adriaens, M.E., Eijssen, L.M.T., Parnell, L.D., Coort, S.L., Evelo, C.T.(2018). From SNPs to pathways: Biological interpretation of type 2 diabetes (T2DM) genome wide association study (GWAS) results . PLoS ONE. 13. (4).