Janet Paluh

Professor contributing to breakthroughs in computational neuroscience and nanoscience, Dr. Janet Paluh is an Associate Professor at the University at Albany, where she delves into the intricate world of nanoscale communication and artificial synapses. Her research is at the forefront of understanding how nanoscale technologies can be integrated with neural systems to advance artificial intelligence and machine learning applications. Dr. Paluh's expertise is recognized beyond her teaching and research roles. She serves as an Associate Faculty Reviewer for the Faculty of 1000 Cell Biology and Cytoskeleton, a testament to her deep understanding and contribution to the field. Her involvement with the Editorial Board of Scientific Reports, a prestigious journal under Nature Publishing, further underscores her influence and authority in the scientific community. In addition to her editorial roles, Dr. Paluh has held significant positions such as the former Chair of the SUNY Polytechnic Institutional Review Board (IRB), where she oversaw the ethical review of research projects, ensuring they met the highest standards of integrity and compliance. Her leadership in these roles highlights her commitment to advancing scientific research while maintaining ethical rigor. Dr. Paluh's contributions to science have been recognized through various accolades, including being a recipient of the NSF MRI Panel, Division of Biological Infrastructure. This award reflects her innovative approach and dedication to enhancing research infrastructure and capabilities in her field. Her scholarly work is widely published, with articles featured in leading journals such as Nature Communications, Scientific Reports, and the International Journal of Nanomedicine. These publications not only demonstrate her prolific research output but also her ability to address complex scientific questions and contribute valuable insights to the global scientific community. Through her research, teaching, and service, Dr. Janet Paluh continues to push the boundaries of what is possible in computational neuroscience and nanoscience, inspiring the next generation of scientists and contributing to the advancement of technology and understanding in these critical fields.