I am a Ph.D. student in computer science at the University of Notre Dame. My research interests are graph machine learning and its application in science.
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’m a third year undergrad at Berkeley studying computer science. My interests lie in applying computational methods, particularly machine learning, to accelerate scientific discovery and drive social...
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...
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...
I am a computer science graduate from Princeton University. I am broadly interested in AI for scientific discovery with a focus on applying deep learning to drive biological image analysis.
My interest lies in applying machine learning methods to analyze and interpret the Cell Painting assay for predicting drug efficacy, safety, and toxicity. I am passionate about education outreach...
I am a computer science and biology graduate from Swarthmore College. I am interested in creating machine learning methods to study cellular morphology and advance therapeutic discovery.
I am an environmental engineering graduate from the University of Southern California with a minor in entrepreneurship. I am interested in science, technology, and project management. Originally from...
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...
