Bioinformatics Consulting.

AI-augment your bioinformatics workflows.

Availability Note: I only take on 2 clients at a time.

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You need bioinformatics analyses that are reliable, scalable, and scientifically sound. But most teams face hidden bottlenecks: unreliable data preparation, weak production pipelines, and they do not know how to AI-augment productivity. Therefore, I deliver AI-integrated, biologically grounded solutions that eliminate those bottlenecks, de-risk your workflows, and keep your research moving forward fast, with over 20 years of expertise at the intersection of computational biology, ML, and omics.If you’re ready to eliminate bottlenecks and protect your research outcomes, let’s talk.

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Services

Custom Tool Development
→ Production-grade Bioinformatics Tool Development
→ Fully reproducible CLI pipelines with logging, documentation, and testsData Analysis & Interpretation
→ Omics Data Preparation, QC, and pipeline implementation
→ RNA-seq, scRNA-seq, exome, and variant calling analyses
→ Bacterial genome assembly, annotation, phylogenomics, and population structure
→ Custom Genomic Analysis Solutions for Startups & Biotech TeamsAI-Augmented Omics
→ Prompt engineering for workflow automation

• Ready to AI-Augment Your Research? Let’s Talk.

Professional Summary
- Bioinformatician with 15+ years of experience at the intersection of AI, genomics, and tool development for cancer and bacterial genomics.- PhD in Biological Sciences (Magna Cum Laude) with extensive international research experience (Japan, Germany, Colombia, USA).- Delivered NIH-level results through postdoctoral research at the National Cancer Institute (NIH) and consulting work for Westat (US).- Specialized in variant detection, RNA-seq/scRNA-seq analysis, bacterial phylogenomics, and structural variation across clinical and research settings.- Developer of custom bioinformatics tools, including:SpacekmerSDI: Spaced k-mer entropy-based structural differentiation
SignalSV: Variant signal simulation and clustering analysis
ERICLoD: TP53 variant detection simulator aligned with 2024 ERIC guidelines- Expert in AI-Augmented Development ("Vibe Coding"), using large language models to optimize code design, automate workflows, and improve productivity.- Proficient in Python, R, Bash, HPC workflows, dimensionality reduction (PCA, UMAP, Autoencoders), and unsupervised clustering methods.- Published in high-impact journals including Nature Communications, Frontiers in Microbiology, Cell Reports, and Cancers.- 15+ years of university-level teaching in bioinformatics, molecular biology, and data science for medicine and health sciences.- Fully remote, available worldwide for project-based consulting and custom tool development.

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