CV

Leading agentic strategy and architecture and shipping production-grade agentic pipelines. Contributing to AI x Bio research projects, from prototype to production.

Research at the intersection of Machine Learning and Genomics. I also work on developing Agentic pipelines, Computer Vision methods and contribute to Protein Engineering projects.

Computational analysis of single-cell RNA sequencing data and developing a novel method for cancer immunology.

Deep learning interpolation for multicolour fluorescence microscopy videos (Bachelor thesis).

Sampling RNA alignments to assess evolutionary significance of substructures; software development for the method.

Prototyped anomaly detection on time series with data from IoT sensors using Azure Anomaly Detector. Assessed the feasibility of the integration of a new anomaly detection model to Microsoft’s AI Builder.