Summary
Adam Smoulder is a postdoctoral researcher at Boston University's Center for Systems Neuroscience with a decade of experience applying statistical and machine learning methods to large-scale motor cortex recordings. He investigates how neural population activity governs arm and hand movements and how reward signals shape cognition and behavior, combining experimental design with quantitative neural data analysis. His background includes a PhD from Carnegie Mellon, an NSF Graduate Research Fellowship, and industry experience evaluating EMG signals for AR/VR interaction at Meta. Adam has a strong teaching pedigree—multiple neuroscience and engineering TA roles and an award for Graduate Student Teacher of the Year—reflecting his ability to communicate complex quantitative concepts. He brings hands-on expertise across electrophysiology, signal processing, and software development, plus experience scaling analyses to hundreds of simultaneously recorded neurons. Outside the lab he blends interdisciplinary training (bioengineering, EE, and French) with practical engineering from medical-device development, which informs his translational approach to neuroscience.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering at Carnegie Mellon University
Bachelor of Science (BS), Bioengineering and Biomedical Engineering, Bachelor of Science (BS), Bioengineering and Biomedical Engineering at University of Pittsburgh
English, French