I am an engineer and neuroscientist fascinated by how technology and research can make an impact on medicine and health. From speech, to brains, to robots, I believe the latest scientific and technological revolutions have the power to do good for humanity.

My Career

The great majority of my career has involved in a research and analytical space using recorded data to answer fundamental questions about human physiology. My first graduate research project studied methods of Brain-Computer Interface (BCI) recording and the development of algorithms to interpret the neural signal. My dissertation project continued my work in communication sciences to study the forms of sensory feedback used to detect and correct for errors in our voice, but also the contribution that both auditory and somatosensory feedback play in correcting for these errors. In 2021, I accelerated the data activities at a Boston-based start up, Linus Health, who have developed a digital platform for administering neuropsychological health evaluations, and making recommendations for changes to lifestyle. Currently I am a working at Neuraville in Pittsburgh, PA as a Computational Neuroscientist where we are applying neural network models to robotic platforms to test our theories about human cognition, decision making, and learning.

My Background

I received my undergraduate training in Biomedical Engineering from Boston University in 2012. While an undergrad, I had the great opportunity to work in the Boston University Neural Prosthesis Lab studying brain-computer interfaces (BCI) and other forms of augmentative and alternative communication (AAC). In order to pursue these technologies full time, I enrolled in the Graduate Program for Neuroscience PhD Program in Computational Neuroscience. While my first set of projects started in BCI, I found new opportunities for research in the Boston University Speech Lab studying models of speech-motor control. I defended my thesis in December of 2019.

My Interests

I am continually fascinated by the intersection of medicine and technology. I work in a space where the melding of the two can create benefits for humanity or improve our understanding of our own biology. During my time in graduate school, I also developed a fond interest in how data can set the truth free. I am very excited to learn new methods of data recording, analysis, visualization, storage, and dissemination to concretely define ground truths about our world.