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 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.
After graduating from UC Berkeley and Ecole Centrale Paris, I am currently an MLSC intern focusing on gaining biological insights from cell profiles using counterfactuals and deep learning tools. I am...
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...
I am currently a graduate student in Computer Science at the University of California, Los Angeles (UCLA), specializing in Deep Learning and Software Engineering. My interests include analyzing and...
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...
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...
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...
