Prof. Leonard Adleman: Often referred to as the father of DNA computing, Adleman at the University of Southern California demonstrated the first instance of DNA being used to solve a computational problem, providing the foundation for the field.
Prof. Erik Winfree: At Caltech, Winfree’s research combines bioengineering, computer science, and physics, delving deep into DNA-based computation, self-assembly, and the synthesis of digital logic within molecular systems.
Prof. Andrew Ellington: Operating out of the University of Texas at Austin, Ellington focuses on evolutionary biotechnology, including the application of evolved nucleic acid species in computation and nanoscale assembly.
Dr. Marta Kwiatkowska: Based at the University of Oxford, Kwiatkowska’s work in formal verification methods intersects with DNA computing, especially in the synthesis and analysis of DNA-based systems.
Prof. Damien Woods: At the Institute of Science and Technology Austria, Woods works on molecular programming, algorithmic self-assembly, and, more broadly, how DNA can be employed in algorithmic processes.
Dr. Anne Condon: At the University of British Columbia, Condon’s research combines computer science and bioinformatics, focusing on algorithms for predicting RNA, DNA structures, and DNA-based computation.
Prof. Masami Hagiya: From the University of Tokyo, Hagiya is known for his contributions to the theoretical foundations of DNA computing and his work in building DNA-based logic gates.
Prof. Lloyd M. Smith: Working at the University of Wisconsin-Madison, Smith’s contributions to DNA sequencing technologies have provided pivotal tools that enable the progress of DNA computing.
Prof. Natasa Jonoska: At the University of South Florida, Jonoska delves into the mathematical aspects of DNA computing, focusing on formal language theory, computability, and the theoretical underpinnings of DNA-based information processes.
Dr. Sudheer Sahu: As a researcher at Microsoft, Sahu has been exploring the potential integration of DNA-based computation with traditional silicon-based computing, driving forward the practical applications of DNA computing in the tech industry.
