Your expert partner for machine learning and probabilistic modeling in the life sciences

From research to deployment, we deliver models tailored to your life sciences applications.

Our services

We specialize in turning research results into high-value machine learning solutions, from early-stage prototyping to full-scale deployment.

01

Problem and data assessment

We evaluate data quality, tackle missingness, and identify patterns.

02

Model development

We develop models tailored for your specific life sciences applications.

03

Inference & Validation

We validate model performance and uncertainty calibration through rigorous statistical approaches.

04

Model deployment

We deploy models for production use, ensuring scalability and reliability.

Our expertise

Classical Machine Learning

Discover patterns in complex biological data to make predictions.

Bayesian Machine Learning

Quantify uncertainty in your model and update predictions as new evidence emerges.

Causal Inference

Determine what truly drives outcomes, distinguishing real effects from mere correlations in your data.

Decision Making & Optimization

Choose the best path forward when facing trade-offs, resource constraints, or uncertain outcomes.

Tristan Fauvel

Dr Tristan Fauvel is a data scientist and machine learning engineer with seven years of experience working on developing advanced modeling solutions for practical life sciences challenges.