• Developed closed-loop Brain Machine Interface (BMI) approaches to observe homeostatic network adaptations in neural coding.• Collaboratively developed optimized computational imaging techniques and approaches for single-shot miniature 3D fluorescence microscopy.• Developed Machine Learning tools for classifying lung tissue damage in collaboration with research teams at UPenn.• Led a team studying the stability of neural coding in the hippocampus.

• Pioneered the development and use of wireless miniature microscopes for long-term, cellular resolution neural recording.• Developed and maintained public, open-source, resources providing intensive hardware, technical tutorials and data acquisition code for various neurophotonics tools.• Collaborated in large scientific and neuroengineering projects with research groups at Harvard, Caltech, Brandeis, UCSF, Duke, U.C. Berkeley, UPenn, and Tufts.

• Developed highly miniaturized, minimally invasive neural interfacing technologies to study the stability and spatial organization of neural circuits underlying learned behavior.

• Managed a team of 10-15 upper level undergraduate scholars who each led a focused living-learning community of 20-50 students.• Provided mentorship and safe-haven for under-supported students living in the B.U. housing system

• Collaboratively developed "Neuroscience Design Lab," an undergraduate level course that covered elementary programing and analog circuit theory for neurotech applications.