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 quantitative research, AI/ML, engineering, neurotechnology and cognitive science. I am currently a Senior Quantitative UX Researcher at Google. 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
- October 2025 — Joining Google as a Senior Quantitative UX Researcher!
- September 2025 - Served as a reviewer for the NeurIPS AI for Science workshop
- 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!