Lisa Harenski is a highly educated and experienced professional in the field of Mathematical (Computational) Neuroscience. She is All But Dissertation (ABD) in this field from the prestigious University of Pittsburgh, where she specialized in using mathematical models to understand and predict neural activity in the brain. She also holds a Master's degree in Mathematics and a Bachelor's degree in Sociology, both from Marshall University. Lisa's passion for neuroscience and mathematics began during her undergraduate studies, where she became fascinated with the complex patterns and connections in the brain and how they can be explained and understood through mathematical principles. This led her to pursue graduate studies in the field, where she excelled in her research and coursework. Throughout her education, Lisa has gained extensive knowledge and skills in various areas of neuroscience, such as neural networks, computational neuroscience, and brain imaging techniques. She has also developed strong analytical and critical thinking skills, which she applies in her research and problem-solving. In addition to her academic achievements, Lisa has over a decade of experience in AI/ML, Cybersecurity, and Data Analysis. She also has experience teaching and mentoring students, both at the undergraduate and graduate levels. Lisa is a dedicated and passionate professional, committed to advancing the field of Quantum Artificial Intelligence, and using her expertise to contribute to our understanding of the brain and its functions. She looks forward to continuing her research and sharing her knowledge and skills with others in the field.