Bradley Monk

Bradley Monk is a neuroscientist and doctoral candidate at the University of California, San Diego, affiliated with the Center for Neural Circuits & Behavior. His research explores the molecular and neural network dynamics involved in learning and memory, drawing on neurobiology, computational modeling, and programming. His work includes modeling neurotransmitter receptor diffusion and actin dynamics, investigating synaptic plasticity, and assembling annotated molecular pathways related to learning and memory. Monk’s expertise spans computational neuroscience, imaging, microscopy and image processing, scientific programming, statistics, analytical methods, and molecular biology.

His website brings together research projects, a résumé, a blog, and a personal wiki of projects and interests. Blog topics include analyzing news organizations’ political leanings using Reddit data, examining the statistical basis of “hot hand” streaks, and adapting a KORG drum pad for psychological experiments. The site also notes startup company CTO experience and invites inquiries about hiring a seasoned data scientist for full-time or consulting work. Overall, Monk’s professional profile connects neuroscience research with practical computational and analytical approaches.