<span class="vcard">Lillian Eden | Department of Biology</span>
Lillian Eden | Department of Biology
Artificial Intelligence Biology Cancer Computational biology DNA Evolution Faculty Genetics Health sciences and technology Institute for Medical Engineering and Science (IMES) Interview Koch Institute machine learning Medicine School of Science

3 Questions: Building predictive models to characterize tumor progression

Assistant Professor Matthew Jones is working to decode molecular processes on the genetic, epigenetic, and microenvironment levels to anticipate how and when tumors evolve to resist treatment.

Artificial Intelligence Bacteria Biology Electrical engineering and computer science (EECS) Evolution Faculty Genetics Interview machine learning Microbes MIT Schwarzman College of Computing School of Engineering School of Science

3 Questions: Using computation to study the world’s best single-celled chemists

Assistant Professor Yunha Hwang utilizes microbial genomes to examine the language of biology. Her appointment reflects MIT’s commitment to exploring the intersection of genetics research and AI.

Artificial Intelligence Bacteria Biological engineering Biology Cells Computer science and technology DNA Howard Hughes Medical Institute (HHMI) machine learning Proteins Research School of Engineering School of Science

AI system predicts protein fragments that can bind to or inhibit a target

FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.