Yunha Hwang

Yunha Hwang

Samuel A. Goldblith Career Development Professor; Assistant Professor of EECS and the Schwarzman College of Computing

Yunha Hwang combines machine learning and experimentation to study the biochemistry, ecology and evolution of microbial systems.

617-253-9395

Phone

68-370A

Office

Yunha@mit.edu

Email

Building 68 - Koch Biology Building

Location

Lab Website
Jessica Klees

Assistant

617-253-9395

Assistant Phone

Education 

  • PhD, 2024, Evolutionary and Organismic Biology, Harvard University
  • MS, 2018, Earth Systems, Stanford University
  • B.Sc, 2018, Computer Science, Stanford University

Research Summary

Microbial genomes encode the largest molecular, biochemical, and functional diversity on Earth. We focus on developing machine learning models and experimental approaches to discover and design novel biological functions. We integrate computation with expertise in evolution, ecology, and biochemistry to characterize and harness the functional potential of microbes.