Dr. Palacios received his Ph.D. from MIT's Department of Electrical Engineering and Computer Science, where his doctoral thesis focused on developing machine learning systems for engineering next-generation gene therapies. During his graduate studies, he received the Harvard-MIT Martha Gray Prize for Excellence in Research, MIT's Shillman Fellowship, MIT's University Center for Exemplary Mentoring Sloan Fellowship, the National Science Foundation (NSF) Graduate Research Fellowship, and was awarded for excellence in leadership at the MIT Awards Convocation. He received M.S. and B.S. degrees from MIT and Georgia Tech in electrical engineering, computer engineering, and computer science. Besides his active leadership in science and engineering, Sebastian is a passionate educator and advocate for diversity in STEM.
My research interests focus on two broad categories:
1. The development of machine learning systems for designing next-generation therapeutics. In particular, I am interested in the use of synthetic biology and artificial intelligence synergistically to develop solutions to complex medical challenges.
2. The development of synthetic genetic systems that comprise both memory and computation. In particular, I am interested in elucidating and engineering epigenetic cell memory as a form of cellular memory that can be used for engineering novel useful functions in living cells.
3. The development of systems and tools for reliably engineering human cells, where I combine genome engineering, synthetic biology, machine learning, computer engineering and mathematical modeling for design and engineering.