Machine learning is enabling groundbreaking biomedical advances, but its success in some applications is hampered by a lack of data and by incomplete representations of biological systems.

As a 2025 Schmidt Science Fellow, Alissa will integrate cellular imaging techniques across resolutions to study and model dynamic cellular processes.

Alissa aims to generate the data and machine learning frameworks to underpin three-dimensional virtual cell models that can accelerate biological discovery and therapeutics design.

Alissa will pivot from Machine Learning to Bioimaging