Yunha Hwang, Ph.D.
Samuel A. Goldblitch Career Development Assistant Professor in Biology, EECS, and the Schwarzman College of Computing
Yunha also serves as the Co-founder and Chief Scientist at Tatta Bio, a scientific nonprofit dedicated to advancing genomic AI for biological discovery. She received her Ph.D. in Biology from Harvard University and B.S. in Computer Science from Stanford University. Her research interests span machine learning for biomanufacturing, microbial evolution, and open science.
yunha [at] mit [dot] edu
Jessica Klees
Administrative Assistant
jklees [at] mit [dot] edu
Rachel Silverstein, PhD
Biswas Postdoctoral Fellow
Rachel received her BSc from the University of Toronto in Molecular Genetics and PhD from Harvard University in Biological and Biomedical Sciences. Her previous research focuses on applying high throughput protein engineering and machine learning techniques to develop safer and more effective genome editing technologies. She is interested in the intersection of genetics and AI and developing tools to help us better understand the molecules encoded by genomic sequences.
Hongwei Tu
PhD Student, EECS
Hongwei’s research focuses on generative modeling and efficient machine learning for genomics and molecular systems.
hongweit [at] mit [dot] edu