Jamie Twycross

Dr. Jamie Twycross is an Associate Professor in the School of Computer Science at the University of Nottingham. He leads the Intelligent Modelling and Analysis Group and serves as the Modelling Group lead in the Synthetic Biology Research Centre. His work bridges computer science with biological sciences, focusing on interdisciplinary applications of AI to solve complex biological problems.

His research spans computational and mathematical modeling, machine learning, data analytics, and software engineering. Key areas include computational biology, synthetic biology, systems biology, systems medicine, sustainable chemistry, artificial life, biologically-inspired computing, artificial immune systems, computer security, and robotics. He has developed computational approaches to address real-world biological challenges, with particular emphasis on modeling complex biological systems.

Dr. Twycross's publications reveal a strong trend toward interdisciplinary research that integrates computational methods with biological applications. His recent work demonstrates expertise in metabolic modeling, synthetic biology tools development, machine learning applications in bioinformatics, and sustainable chemistry software solutions. His research consistently addresses complex problems at the intersection of computer science and life sciences.

• Discipline External Examiner, Computer Science, Northeastern University London (2023-2027)
• Panel Member, UKRI Interdisciplinary Assessment College (2023-2025)
• Quality Assessor, Office for Students (OfS) (2023-2027)
• Member of Pool of Experts, Biotechnology and Biological Sciences Research Council (BBSRC) (2023-2026)

Dr. Twycross has supervised an extensive number of students across multiple levels, including 4 postdocs, 14 PhD students, 1 M.Phil student, 21 M.Sc. dissertation students, and 21 B.Sc. dissertation students. His grant portfolio includes funding from national and international agencies, reflecting the significance and impact of his interdisciplinary research. He has also served on numerous grant review panels for UKRI, BBSRC, EPSRC, and other major funding organizations.

As group lead of the Intelligent Modelling and Analysis Group and the Modelling Group in the Synthetic Biology Research Centre, Dr. Twycross directs research teams focused on developing computational approaches to address hard, real-world biological problems. His team's work includes developing software tools like libtissue for implementing artificial immune systems, as well as contributing to significant advancements in metabolic modeling and synthetic biology applications.