Unlocking the Secrets of Cellular Biology with Machine Learning
As we delve into the era of multimodal data, scientists are faced with the challenge of analyzing complex cellular information from various sources. Traditional methods have hit a roadblock, and it’s time to bring in the power of machine learning. Xinyi Zhang, a PhD student at MIT, is revolutionizing the field of cellular biology by developing computational tools to understand fundamental biological principles.
The Age of Multimodal Data
With recent advances in imaging, genomics, and other technologies, scientists are now capable of collecting vast amounts of data from various sources. However, analyzing this data is a significant challenge. Traditionally, scientists have had to work with one type of measurement at a time, but this approach has its limitations. Xinyi Zhang is bridging the gap between machine learning and biology to understand how cells work, how tissues and organs function, and why diseases occur.
Xinyi Zhang, the trailblazing PhD student
Bridging the Gap between Machine Learning and Biology
Zhang’s work is focused on building computational frameworks and principles for understanding regulatory mechanisms in cells. She is working in the lab of MIT Professor Caroline Uhler, collaborating with researchers at the Eric and Wendy Schmidt Center at the Broad Institute, and elsewhere. Her research has led to the development of innovative tools, such as autoencoders, to analyze multimodal data.
A simplified representation of an autoencoder
The Future of Cellular Biology
Zhang’s ambition is to build a fully complete model of human life, but she’s not waiting for unlimited time and resources. She’s already working on multiple projects, including studying neurodegeneration by analyzing frontal cortex imaging and predicting protein images from protein sequences and chromatin imaging. Her dream is to apply her skills to solve the most challenging questions that we don’t have the tools to answer.
The fascinating world of cellular biology
A Life Beyond Research
Xinyi Zhang’s passions extend beyond the lab. In her free time, she enjoys sailing, skiing, ice skating, rock climbing, and even flying single-engine planes. Her humility and understatement only add to her charm, and it’s no wonder her advisor, Caroline Uhler, praises her quiet confidence.
Xinyi Zhang, the adventurous spirit
