Algorithmic Self-assembly of DNA Nanoparticles

Speaker: Jacob Hendricks, Ph.D.

Computer Science Assistant Professor Candidate

Abstract:

We are surrounded by an abundance of naturally occurring self-assembling systems which serve as a source of scientific inspiration. These systems begin as disorganized collections of simple components, unaware of their surroundings and each other, and without the guidance of any human interaction, form complex structures. This process, called self-assembly, is responsible for a wide variety of phenomena ranging from the formation of snowflakes to cellular growth in biological organisms. In this talk I will give an overview of my research in the area of algorithmic self-assembly where the aim is to define and study theoretical models of self-assembly.

Bio-Sketch:

Dr. Jacob Hendricks received a PhD in Computer Science from University of Arkansas, Fayetteville in 2015. He received an M.A. in Mathematics from University of Texas, Austin in 2008. His research interests are in theoretical computer science. He is interested in the theoretical and computational modeling of nanoparticles with the goal of understanding systems in which simple local interactions lead to complex global behaviors and/or structures.

Free