Professor Cristian Taccioli’s research focuses on genomics and bioinformatics, with a particular emphasis on the design of novel therapeutic molecules, including antibiotics and anticancer drugs. By employing generative artificial intelligence models, such as language models, GANs, diffusion models, and Flow-based algorithms, he develops innovative approaches for the creation and optimization of bioactive molecules. Additionally, his work explores Chargaff' Second Parity Rule, aiming to investigate its implications for genome stability and transposon activity.

Title 1:
"Design and Development of Advanced Computational Tools Based on Artificial Intelligence for the Identification and Optimization of Novel Antibiotic and Anticancer Drugs"
Description: This research focuses on the development of innovative algorithms and software packages utilizing generative artificial intelligence models and machine learning to design bioactive molecules. Particular emphasis is placed on creating antibiotics targeting multidrug-resistant bacteria and anticancer drugs with high specificity, minimizing side effects.

Title 2:
"Characterization and Discovery of New Families of Transposable Elements: A Computational Approach Based on Chargaff's Second Parity Rule"
Description: This thesis proposes an in-depth analysis of transposable elements through the application of Chargaff's Second Parity Rule. Using bioinformatics models and statistical algorithms, students will explore the role of these elements in genome stability and gene regulation, with evolutionary and biomedical implications.

Title 3:
"The Possibility of Creating Self-Awareness in Artificial Intelligence Systems: A Philosophical and Epistemological Analysis"
Description: This compilation thesis is aimed at students interested in exploring the theoretical foundations and ethical implications of creating self-aware artificial intelligence systems. Through a critical review of the literature, the student will analyze proposed computational models, the limitations of current technology, and the significance of self-awareness in machines, comparing them with traditional concepts of human consciousness.

Title 4:
"Creative Algorithms in Artificial Intelligence: Bridging Psychology and Technology"
Description: This compilation thesis is designed for students interested in studying how artificial intelligence models can be developed to emulate or surpass human creative processes. Through a literature review, the student will explore how the psychology of creativity and machine learning models converge to produce algorithms capable of generating artistic works, innovative ideas, and unconventional solutions to complex problems.