Innovation Domain 02

Machine Learning

We turn raw biological and research data into predictive insights, intelligent recommendations, and automated workflows that amplify research potential — making AI accessible to every scientist.

Our Vision

Algorithms that amplify discovery.

Machine learning is no longer a luxury in life sciences — it's essential. Yet many researchers lack access to practical, scientifically sound ML frameworks tailored to biological challenges.

We develop generalizable, reproducible machine learning systems designed to extract meaning from complex biological data. From species identification to disease prediction, our models empower researchers to ask better questions and discover faster.

Our research →
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Representation Learning
Building neural architectures that capture meaningful biological features from raw data.
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Predictive Models
Developing models that generalize across biological contexts — not just fitting training data.
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Biological Interpretability
Creating ML systems where predictions are explainable, grounded in biological theory.
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Automated Workflows
Turning models into production systems that researchers can deploy with confidence.
Research Applications

ML for life sciences

Our active research spans multiple applications where machine learning transforms how scientists work with biological data.

High-Resolution Species Barcoding
Using machine learning to identify species from genomic fragments with unprecedented accuracy and speed.
Tissue-Type Detection via RNA
Predicting tissue origin and cell type composition from RNA expression profiles.
AI-Driven Disease Classification
Automating the identification of cancer type, disease stage, and patient stratification from molecular data.
Forensic Genomics
Inferring population-level identity and ancestry information from genomic data for research and security applications.
Tools & Platforms

ML in action

Our platforms embed machine learning research into tools that researchers can use immediately for their own work.

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Covary
The Philippines' first machine learning program designed specifically for life science research capacity-building.
Explore program →
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TIPs Research
Translator-Interpreter Pre-seeding: advancing machine learning applications in synthetic biology and genetic engineering.
Explore program →

Explore the other domains

Discover our work in data & information science and programmable biology — the three pillars of ChordexBio innovation.

Data & Information → Programmable Biology