CoB-KIBM Faculty Mentors

The goal for the CoB-KIBM Program is to provide undergraduates from historically underrepresented backgrounds a positive and fruitful research experience to demonstrate how a career in science is not only possible, but also highly rewarding. Therefore, the Colors of the Brain graduate mentors have curated a list of potential Faculty Mentors for the CoB-KIBM scholars to select from. Selection of Faculty Mentors is based on their demonstrable commitment to train historically underrepresented students in neuroscience.

Dr. Brenda Bloodgood

Systems/Molecular

Our goal is to understand molecular mechanisms that drive experience dependent circuit plasticity. from the moment an animal is born, its brain is working to extract information from its surroundings and initiate appropriate behavioral responses. This is done through the activity of excitatory and inhibitory neurons that are organized into synaptically connected circuits. Our lab is interested in understanding how experience, via the execution of activity­-dependent gene expression, regulates the connectivity of inhibitory and excitatory neurons and how these processes relate to animal behavior and disease states.

Dr. Christina Gremel

Systems/Cognitive

Dr. Gremel’s lab focuses on understanding how the brain does decision-making. This requires an understanding of both the behavioral and neural mechanisms involved. We take an integrative approach using mice, in which we can combine both simple and sophisticated quantitative behavioral measurements, with powerful molecular and genetic tools and monitoring techniques to delineate molecular mechanisms within specific cell-types in identified circuits that control decision-making processes.

Dr. Gene Yeo

Systems/Molecular

A major focus of our lab is to understand how gene expression is controlled at the RNA level to maintain proper functioning of cells during development and aging. Over the past decade, there has been a dramatic increase in the recognition that members of a broad class of proteins termed RNA binding proteins (RBPs) are crucial for maintaining molecular and cellular homeostasis. RBPs regulate processes such as cell survival, pluripotency of embryonic stem cells, and neuronal function, as well as aid in the transition between cellular states in response to stimuli, such as during neural specification of stem cells, cellular stresses, or viral infections.

Dr. Rich Daneman

Systems/Molecular

Our goal is to understand the molecular mechanisms that regulate blood-brain barrier (BBB) function during health and disease. The BBB is a specialized structure formed by the blood vessels in the central nervous system (CNS) that is critical for proper brain function as well as protecting the brain from injury and disease. Breakdown of the BBB occurs during stroke, edema, brain trauma, and multiple sclerosis and is a major component of the symptoms and progression of these diseases. Furthermore, the BBB not only impedes the movement of toxins and pathogens, but also inhibits the delivery of potential therapeutic agents to the CNS.

Dr. Shreekanth Chalasani

Systems/Molecular

One approach to studying our brain is to identify how we detect relevant information in our environment and use that to drive behaviors. This task is difficult in our brains with all of its stunning complexity. Fortunately, neural circuit motifs are conserved allowing us to analyze simpler nervous systems and define basic circuit principles that underlie complex brain functions. We use two small nervous system models- the nematode, Caenorhabditis elegans and the vertebrate, Danio rerio. The C. elegans nervous system consists of just 302 neurons that are connected by identified chemical and electrical synapses. Despite its simplicity, this animal displays a number of sophisticated behaviors providing us an ideal model to study neural circuit properties.

Dr. Eran Mukamel

Systems/Molecular

Epigenetic processes which modulate gene expression are critical for the development, plasticity, and degeneration of neural circuits throughout the lifespan. However, the normal development of methylation patterns and their effect on gene expression in brain cells is largely unknown. In the 15 years since completing the human genome project, many individual labs and large-scale consortia have focused on mapping the epigenomic landscape of coding and non-coding DNA elements. Our lab seeks to exploit the full potential of these resources for elucidating developmental and regulatory processes, by creating computational analysis tools and theoretical models which are tailored to the scope and resolution of the data.

Dr. Lara Maria Rangel

Systems/Cognitive/Computational

Our laboratory aims to understand the mechanisms through which dynamic engagement between neural networks is achieved. This selective engagement is critically necessary for filtering information from multitudinous afferents and coordinating processing between regions that must communicate for successful computation. The ability to selectively coordinate information processing across regions enables an organism to attend to information relevant to behavioral circumstances. Neural oscillations can reflect the recruitment of cells into functional circuits and the successful coordination of neural network activity. Studying network oscillations during behavior can thus provide insight into the flexible participation of cells in local and cross-regional circuit processes. Our projects combine computational and statistical models with in vivo electrophysiology to 1) identify elements within neural networks that give rise to rhythmically identifiable processing states and 2) test the impact of rhythmic coordination upon successful network engagement in rodent models.

Dr. Judy Fan

Computational/Cognitive

A major goal of research in my lab is to “reverse engineer” the computational mechanisms that enable human-like visual abstraction. In particular, we are interested in how people use a variety of physical representations of thought (e.g., drawings, writing) to support learning, communication, and problem solving. We use a combination of techniques from psychology, neuroscience, and machine learning to develop algorithmically explicit theories of these cognitive phenomena, which in the long term may guide the development of enhanced interactive visualization tools for education and research. I also teach classes that focus on equipping students to grapple with real-world data and think about what they mean. I care deeply about empowering students from all backgrounds to gain computational literacy and participate in shaping the future of the social sciences, technology, and policy.

Dr. Yishi Jin

Systems/Molecular

The Jin lab research focuses on the molecular genetic mechanisms underlying the development and function of the nervous system using the nematode Caenorhabditis elegans. The transparency, defined anatomy, and rapid life cycle of this organism greatly facilitate our studies at the subcellular resolution. Moreover, the entire cell lineage and connectome are known, enabling functional understanding at deep levels. Through forward genetic screening in combination with multi-layered molecular and cellular manipulations, we are discovering key molecules that play conserved roles in synapse formation, maintenance, and function, as well as those underlying adult axon regeneration. Our ultimate goal is to connect the studies of basic mechanisms to the understanding of human neurological disorders and neuronal repair.

Dr. John Serences

Computational/Cognitive

Our research focuses on understanding how behavioral goals influence perception, decision making, and memory. Perception is thought to be based on the activity of sensory neurons that receive input from the world around us (in the form of light, sound, etc.). However, sensory neurons are very noisy and unreliable, so small groups of these neurons must work together to support stable perceptual representations. In addition, a combination of factors such as prior experiences, current expectations, and behavioral goals influence the activity of sensory neurons to bias perception in favor of the most important objects in the environment. What we experience is therefore not merely a product of the raw sensory input, but instead reflects the combined influence of sensory factors and the internal state of the observer. To investigate the influence of behavioral goals and previous experiences on perception and cognition, we employ a combination of psychophysics, computational modeling, and neuroimaging techniques.

Dr. Ed Callaway

Systems/Molecular

We are studying the organization and function of neural circuits in the visual cortex to better understand how specific neural components contribute to the computations that give rise to visual perception and to elucidate the basic neural mechanisms that underlie cortical function. We employ anatomical and physiological methods both in vivo and in vitro to reveal neuronal circuitry and to identify the emergent functional properties of the component neurons. Present studies focus on: identifying the roles of specific cell types in cortical function by mapping their connections, and monitoring and manipulating their activity using genetic and viral tools; understanding the contributions of cortical and subcortical structures and cell types to functional interactions between visual cortical areas; understanding the neural mechanisms that underlie changes in behavioral performance with attention and that regulate shifts in attention.

Dr. Matthew Lovett-Barron

Systems/Molecular

Our brains are in constant flux — leading us to behave differently if we are alert or sleepy, hungry or sated, alone or in a group. What biological mechanisms allow nervous systems to be so flexible? We address this problem by studying the brains of zebrafish (Danio rerio) and glassfish (Danionella translucida) as they adjust their behavior to different circumstances. The brains of these vertebrates share much with mammals, but are small and transparent — allowing us to observe the entire brain in action.

Dr. Stephan Leutgeb

Systems/Cognitive

Memories can be retained as briefly as a few seconds or as long as a lifetime. What is the biological foundation for memory over such diverse time scales? What endows the brain with the capacity to not just generate an exact recollection of past events but store information in a way that can be flexibly and creatively used? What are the critical changes in brain circuits that limit these capabilities in brain diseases, such as depression, epilepsy, and Alzheimer’s diseases, and how can we restore brain function in disease? Our laboratories study these questions with an emphasis on one of the core systems for memory, which includes the hippocampus and entorhinal cortex. In humans, these brain regions are known to be the basis for declarative memory – the form of memory that we are aware of and can recollect when being asked. In addition, the hippocampus and associated brain regions are also critically important for perceiving space and for navigating in familiar and new environments.

Dr. Andrea Chiba

Computational/Cognitive

Our research interests include the basal forebrain’s role in spatial attention and associative learning, as well as amygdaloid representations of affect.