Sergio Andonegui Elguera

Bioinformatics scientist and computational biologist specialized in multi-omics analysis applied to cancer and human disease.

Experience in bulk RNA-seq, single-cell/snRNA-seq, spatial transcriptomics, DNA methylation, genomics, variant annotation, clinical-molecular integration, survival analysis, co-expression networks, functional enrichment, and immune deconvolution. Analyzed 500+ omics samples, integrated 15+ public and internal cohorts, generated 500+ publication-ready figures and supplementary tables, contributed to 13 scientific publications, and identified 43 candidate molecules to reverse molecular signatures of tumor aggressiveness. Works with R/Bioconductor, Python, Bash/Linux, Cytoscape, and reproducible analytical workflows.

Bioinformatics Scientist / Doctoral Researcher at Medical Research Unit in Endocrine Diseases, Hospital de Especialidades, CMN Siglo XXI, IMSS (2021-01 – Present)

• Generated a multi-omic characterization of pituitary tumors by integrating transcriptomic, clinical, epigenomic, and spatial data, contributing to publishable results in endocrine oncology.
• Analyzed 500+ RNA-seq, DNA methylation, and spatial transcriptomics samples using R/Bioconductor, Python, and Bash, generating evidence for indexed international publications.
• Integrated 15+ public and internal cohorts through normalization, metadata curation, and batch-control strategies to build pituitary tumor expression matrices.
• Reduced analysis turnaround from approximately one month to one week by automating reproducible workflows in R, Python, and Bash/Linux.
• Identified molecular alterations associated with tumor aggressiveness and therapeutic resistance through differential expression, functional enrichment, molecular signatures, and clinical-molecular analyses.
• Identified 43 candidate molecules with potential to reverse molecular signatures of aggressiveness in pituitary tumors through drug repurposing analyses.
• Produced 500+ figures, supplementary tables, analytical reports, and methods/results sections for manuscripts, theses, and academic presentations.

Computational Biology Research Collaborator at Medical Research Unit in Endocrine Diseases, IMSS (2018-01 – Present)

• Analyzed multi-omics data in cancer and human disease through reproducible bioinformatics pipelines, contributing to 13 scientific publications in international journals.
• Inferred immune cell populations through computational deconvolution to interpret tumor microenvironment and inflammatory profiles.
• Identified dysregulated molecular pathways through functional enrichment, GSEA, ORA, and transcriptomic signature analyses.
• Translated omics matrices and clinical metadata into interpretable results for biomedical teams, reducing the gap between computational analysis and biological interpretation.

Bioinformatics Researcher, Lung Cancer Genomics at National Institute of Genomic Medicine, INMEGEN (2018-01 – 2020-12)

• Built and analyzed gene co-expression networks in lung cancer using mutual information, R, Cytoscape, and Linux, identifying loss of long-distance co-expression associated with the tumor phenotype.
• Processed and analyzed public transcriptomic datasets through download, curation, normalization, and statistical modeling in R.
• Identified differentially expressed genes using linear and Bayesian models applied to tumor transcriptomics.
• Converted network and gene expression results into a scientific manuscript published in Frontiers in Genetics.

Bioinformatics Collaborator, Translational Immuno-Oncology at Translational Immuno-Oncology Laboratory, IBYME (2019-01 – 2020-12)

• Analyzed transcriptomic and clinical data from triple-negative breast cancer to identify gene signatures associated with clinical outcomes.
• Detected differentially expressed genes and enriched molecular pathways through statistical analysis in R.
• Evaluated associations between transcriptomic profiles and survival using survival models and clinical-molecular analysis.
• Contributed to the biological interpretation of tumor signatures in a translational immuno-oncology context.

Lecturer, Cell Chemistry at Cell Chemistry Course (2024-01 – 2024-12)

• Designed and delivered cell chemistry and molecular biology content for university students, supporting understanding of complex biochemical processes.
• Prepared teaching materials and assessments integrating chemistry, cell biology, and biomedicine.

Science Teacher at Escuela Preparatoria Calmecac (2018-01 – 2023-12)

• Taught Chemistry, Biology, and Health Education at high-school level, adapting scientific content to different levels of academic preparation.
• Designed classes, materials, and assessments to strengthen conceptual learning, scientific communication, and critical thinking.

Molecular Biology Research Trainee at Medical Research Unit in Oncological Diseases, Hospital de Especialidades, CMN Siglo XXI, IMSS (2017-01 – 2018-12)

• Evaluated protein expression of the KLF5 and KLF6 transcription factors in penile cancer through immunohistochemistry and molecular biology techniques.
• Performed nucleic acid extraction, PCR, and interpretation of experimental results to validate potential molecular markers.

PhD in Biomedical Sciences – National Autonomous University of Mexico, UNAM (2021-01)

MSc in Biochemical Sciences – National Autonomous University of Mexico, UNAM (2018-01 – 2020-12)

BSc in Pharmaceutical-Biological Chemistry – Faculty of Chemistry, National Autonomous University of Mexico, UNAM (2013-01 – 2017-12)