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I am a Postdoctoral Associate in the image-based profiling team. I'm interested in developing machine learning methods for studying cellular organization and improving disease diagnosis and treatment.

My interests lie in the interface of computer science, math, image analysis, and biology. I aim to develop tools and workflows to process high throughput imaging datasets, with special interest on applying computational methods on live microscopy data. I am also keen on extracting biological...

I am interested in trying to predict and gain insights into adverse health outcomes in living organisms from rich cellular profiling data collected from in vitro experiments.

I am interested in hacking biological systems for fun and profit. This includes (non-exhaustively) using tools from mathematics, computer science, and engineering disciplines to probe, understand, and program biological systems.

I am the Administrative Assistant for the Imaging platform, holding dual master’s degrees in Digital Economy and Business from Zagreb University of Applied Sciences, as well as Cultural and Fashion studies from the University of Zagreb. My interests lie in the financial aspect of nonprofit...

I lead the image-based profiling team. We develop machine learning and statistical methods to create fingerprints of genes, chemicals, and diseases from microscopy images of cells.

I focus on developing advanced deep-learning methods to create robust cell representations from cell painting assays. My research aims to understand how various genetic variants alter cellular states and explore potential treatments for diseases associated with these variants.

I am interested in the application of machine learning methods to uncovering causes and treatments for disease using heterogeneous biological data.

I am a Postdoctoral Fellow at the Imaging Platform. I am interested in applying and developing machine learning methods for analyzing and representing the rich information captured in high throughput imaging datasets.