Patrick F. Bloniasz (he/him) is a statistical neuroscientist and philosopher of science. He holds a BA in Neuroscience (Honors) and Digital and Computational Studies from Bowdoin College and is currently working toward a PhD at Boston University in Computational Neuroscience as a National Science Foundation (NSF)-funded graduate fellow.
He is also a research collaborator at New York University’s MindHive program, where he serves as a research ethicist and lead mentor for high school students engaging in community science projects. Patrick’s neuroscience work focuses on developing probabilistic and statistical methods for modeling neural time series across emergent spatial scales (e.g., spike trains, LFP, ECoG, and EEG/MEG). Currently, he is using filtered point processes to model and explain biomarkers of propofol anesthesia-induced unconsciousness in humans and macaque monkeys.
Patrick’s philosophy of science work focuses on critiquing and improving measurement theory practices in education, psychology, and neuroscience–such as the interpretability of grading practices and standardized testing. Currently he is studying best practices for implementing AI-enabled technology in high school educational pedagogy. Patrick is currently the President of the Board of the non-profit Simply Neuroscience and a board member for the Society for Ricoeur Studies–an international philosophical society. Find Patrick at his website (patrickbloniasz.com) or on X/Twitter (@PatrickBloniasz).