Yunha Hwang

Yunha Hwang is a Fellow at the Massachusetts Institute of Technology, affiliated with the Department of Biology. She is also an Assistant Professor of EECS and the Schwarzman College of Computing. Her research combines machine learning and experimentation to study the biochemistry, ecology, and evolution of microbial systems. Hwang focuses on developing machine learning models and experimental approaches to discover and design novel biological functions. She integrates computation with expertise in evolution, ecology, and biochemistry to characterize and harness the functional potential of microbes.

Yunha Hwang is an Assistant Professor at MIT, specializing in Machine Learning, Microbial genomics, and Microbial evolution. Her research focuses on leveraging machine learning to analyze genomic data and uncover evolutionary patterns in microbial communities. She has published extensively on topics such as genomic language models, metagenomic datasets, and the role of viruses in microbial evolution. Her work explores microbial extremotolerance, DNA fractionation, and the functional annotation of microbial proteins. Hwang's research bridges computational methods with microbial ecology, aiming to understand the genetic and functional diversity of microorganisms in extreme environments.