In our complex world, how do humans learn and make decisions when their cognitive resources are limited? My thesis introduces a new theory called "policy compression" to answer this question! The basic idea is that people simplify their decision-making processes to reduce the mental effort required, without significantly compromising the benefits or rewards of those decisions. I use computational modeling, human experiments, and brain studies in rats to explain why people exhibit certain decision-making patterns, like the tendency to stick with familiar choices, and why they use strategies like "chunking" to reduce mental load. I also propose that different brain regions work together to balance mentally taxing decisions with more automatic, habitual decisions. This allows the brain to optimize behavior in complex environments. In conclusion, my thesis offers a new way to understand how humans and animals make decisions with limited mental resources, and shows how the brain organizes itself to handle decision-making efficiently.

This research explores how immune-related cells and molecules, beneficial in wound healing, may become harmful in Parkinson’s disease. Using the fruit fly as a model organism, the study investigates which inflammatory processes contribute to brain damage. Early results suggest that excessive activation worsens degeneration, offering potential targets for future therapies.

This research develops a virtual human model and predictive algorithm to detect blast-induced traumatic brain injuries in real time. Using simulations and body-mounted sensors, the system estimates injury risk on the battlefield, helping medics and commanders make rapid decisions to protect soldiers and improve mission safety.

This research examines how sugar consumption and impaired reward sensitivity predict later alcohol-related behaviors in rats. Findings show that addiction-like responses to sugar can forecast alcohol responses, suggesting shared neural mechanisms. Understanding these early behavioral markers may help identify addiction risk factors and inform prevention strategies.

This research explores how the hippocampus and prefrontal cortex communicate to support memory for sequences of events. By understanding how these brain regions track past, present, and future, the work aims to shed light on cognitive impairments seen in disorders such as Alzheimer’s disease and depression.

This research investigates why women are more vulnerable to stress-related disorders. Using a mouse model of acute trauma, the study shows that estrogen levels in the hippocampus drive memory disruption after stress. Blocking local estrogen production protects memory, revealing sex-specific mechanisms relevant for targeted treatments.

This talk highlights the importance of science communication. Despite the fear of public speaking, sharing research can directly impact lives. A three-minute research presentation led to a pediatric cancer patient receiving treatment, demonstrating how communicating science beyond the lab can translate into real-world benefits.

This research explores how early-life stress alters reward motivation differently in males and females. By identifying sex-specific brain circuits and wiring patterns shaped by early stress, it reveals why individuals respond differently to reward and highlights the need for personalized approaches to mental health treatment.

This research examines how stress during adolescence produces lasting, sex-specific cognitive effects in adulthood. Using an animal model, the work replicates learning and attention deficits seen in humans and investigates cellular communication mechanisms underlying these changes, with the goal of reducing the long-term cognitive impact of adolescent stress.

Drawing on personal experience with depression and anxiety, this researcher studies synaptic adhesion molecules—key proteins that shape how neural connections form and adapt. By understanding how these molecules change across development, the work aims to uncover molecular mechanisms behind neuropsychiatric disorders and inform future treatments or prevention strategies.