معرفی
Tim Andersen is a Professor in the Computer Science Department at Boise State University. He holds a Ph.D. in Computer Science from Brigham Young University (1999) and previously worked as Chief Scientist at IArchives, developing OCR and image processing algorithms. His research focuses on interdisciplinary areas including nucleic acid-based data storage, blockchain applications in AI, machine learning optimization, and bio-inspired computational models.
Education:
- Ph.D. in Computer Science, Brigham Young University, 1999
Research Interests:
Dr. Andersen’s work spans molecular data storage (e.g., DNA-based memory systems), computational security protocols leveraging blockchain, optimization of neural network training, and bioinformatics applications such as probe design and protein docking. He pioneered methods for encoding digital information in nucleic acids and developed algorithms for enhancing AI model trustworthiness through decentralized verification.
Publications Trends:
Recent work emphasizes nucleic acid memory optimization (2023–2025), blockchain integration in AI security (2023–2024), and legacy contributions to OCR algorithms and evolutionary computation (1995–2000s). His research often bridges computer science with molecular biology, addressing both theoretical and applied challenges in emerging technologies.
Awards & Grants:
Not explicitly listed in available texts, but his sustained contributions across multiple disciplines suggest substantial external funding and recognition in interdisciplinary computing.
Advising & Curriculum Development:
Co-developed the “Computer Science Professionals’ Hatchery” program, integrating inclusion/diversity initiatives into Boise State’s curriculum. Focus on preparing high-school teachers in computer science through sustainable models like IDoCode.
Labs & Collaborations:
Associated with Boise State’s computational biology and AI security research groups. Collaborates across disciplines to advance nucleic acid storage and blockchain-audited systems.
