About Me
I am a scientist and researcher with over a decade of experience applying AI and machine learning to better understand and enhance human cognition, health, and behavior. Combining my background in engineering and cognitive neuroscience, I have identified how imperfect human cognition is — our attention constantly lapses and we forget much (if not most) of what we see and experience. I develop machine learning pipelines that analyze complex, multimodal time-series data — including gaze tracking, pupillometry, and neural signals and and use large language models to build AI tools that support meaningful human-AI interactions. Through my research that spans tech and academia, I create real-time, closed-loop systems that help optimize what we pay attention to, how we learn, and what we remember.
I have authored 20+ articles in peer-reveiwed journals, including Nature Neuroscience and Nature Human Behaviour. My work has been featured in The NY Times and The Atlantic.
My work spans the intersection of engineering, AI, neurotechnology and cognitive science. I am currently a Senior Research Scientist at Ruby Neurotech. I earned my PhD in Neuroscience from Princeton University (supported by an NSF GRFP and funding from Intel Labs) and then was a post-doctoral fellow at UChicago (supported by NIH K99 and F32 postdoctoral awards). Before graduate school, I studied Applied Mathematics at Columbia University. Click here to learn more about my research
Recent News
- July 2025 — Posted a preprint on arXiv from my work at Ruby NeuroTech: “AI-guided digital intervention with physiological monitoring reduces intrusive memories after experimental trauma” Check out the preprint here!
- July 2025 - Launched de-Bot-tencourt, a RAGbot trained to answer questions about my research and publications. Try it out on the Chat page!
- May 2025 — Attended the AI for Science symposium, hosted by Foundry, Invisible Technologies, Open Athena, and the Enigma Project
- May 2025 — Posted a preprint on PsyArXiv: “Cognitive neuroscience of attention and memory dynamics”. The first author is Anna Corriveau, PhD student at UChicago. Check out the preprint here!