Andrew Erskine
About Andrew Erskine
Andrew Erskine is a neuroscientist and software engineer known for his work on olfactory behavior in mice and the development of the AutonoMouse system, as well as his contributions to game AI and cloud-based solutions for data analysis.
Andrew Erskine: Neuroscientist and Software Engineer
Andrew Erskine is a neuroscientist and software engineer known for blending his expertise in technology with his research interests. His work spans multiple domains, including research, data science, and games. With a strong passion for advancing technologies, Andrew's diverse skill set allows him to contribute significantly to both scientific research and software development.
Andrew Erskine's Education and Expertise
Andrew Erskine completed a PhD at the Francis Crick Institute, where he focused on studying olfactory behaviour in mice. Following his PhD, he pursued postdoctoral research at the University of Southern California. His postdoctoral work involved investigating somatosensory processing using advanced techniques such as head-fixed behaviour, 2-photon imaging, 3D holographic optogenetic stimulation, and machine-learning approaches. These experiences have equipped him with a deep understanding of both experimental neuroscience and cutting-edge technology.
Andrew Erskine's Work at the Francis Crick Institute
During his PhD at the Francis Crick Institute, Andrew Erskine focused on the study of olfactory behaviour in mice. His research contributed to the understanding of how mice perceive and respond to olfactory stimuli. One of his key projects was the development of the AutonoMouse system, an innovative approach for conducting automated, high-throughput behavioural experiments. This system has been instrumental in streamlining research processes and gathering large amounts of data efficiently.
Postdoctoral Research at the University of Southern California
At the University of Southern California, Andrew Erskine conducted postdoctoral research centered on somatosensory processing. He employed various advanced techniques, including head-fixed behaviour, 2-photon imaging, and 3D holographic optogenetic stimulation. Additionally, he used machine-learning approaches to decipher the information transfer between cortical layers. This research has provided deeper insights into the neural mechanisms underpinning sensory processing and neural computation.
Andrew Erskine's Software Engineering Projects
In addition to his academic research, Andrew Erskine has extensive experience in software engineering. He has worked on a wide range of projects, including developing game AI systems, designing multiplayer network architecture, and creating cloud-based solutions for large-scale data analysis. His multidisciplinary expertise allows him to bridge the gap between neuroscience and software development, effectively utilizing technology to tackle complex research and engineering challenges.