Harvey Lab• Developed cutting-edge experimental tools to record from thousands of neurons in distant brain areas simultaneously and repeatedly every day for over a month while mice learn and perform complex navigational tasks in virtual reality• Created and maintained database pipelines combining multiple data sources (e.g. calcium imaging, video, virtual reality navigation, neural manipulation)• Performed behavior analysis to identify strategies that help animals learn• Developed novel analyses using artificial intelligence and machine learning techniques to decode and model behavior and neural activity to extract meaningful insights from this complex dataset• Obtained EMBO and BBRF fellowships to fund research

Designed syllabus including course content and assignments; delivered content on neural basis of feeding, decision-making, foraging, neuroeconomics. Coordinated small-group discussions, graded assignments, and wrote recommendation letters for students.

Paton Lab• Led multiple neuroscience research projects combining advanced experimental and computational approaches to understand the neural basis of time perception and reinforcement learning in biological and virtual agents, leading to 2 first-author publications in top-tier peer-reviewed journals and an award for Best Timing Paper (Timing Research Forum, 2016)• Collected, processed, analyzed, and visualized large behavioral and neural datasets• Identified the relationship between neural and behavioral readouts of time perception using dimensionality reduction, supervised and unsupervised ML tools• Developed expertise in a variety of cutting-edge neuroscience techniques, including in vivo electrophysiology, fiber photometry, optogenetic and chemogenetic manipulation of neural activity, and novel behavioral paradigms. Pioneered several of these techniques in the lab• Established and maintained internal and external collaborations, resulting in 6 additional publications• Communicated complex and technical information to a variety of audiences via peer-reviewed publications, presentations at 5+ scientific meetings and 10+ internal and external seminars, press-releases, media interviews, and public science communication events

• Completed first year of courses covering principles of neuroscience, including practical workshops, as part of the International Neuroscience Doctoral Programme

• Co-designed and implemented all stages of a neuroscience research project including subject testing, programming, data engenering and analysis, data visualization and manuscript preparation• Communicated complex research findings at internal and external scientific meetings• Managed lab purchases, budgeting and resources, and organized social events