Queenie Li

The melanocortin 4 receptor (MC4R) in neurons is critical for managing appetite and energy expenditure. Specifically, leptin, a hormone that suppresses appetite, signals to POMC neurons, which then activate MC4R neurons that induce satiety and increased energy usage. Disruptions in the MC4R pathway are known to cause dysfunctions in body weight management and lack of satiety. In fact, loss of function mutations in the MC4R gene is the leading cause of monogenic obesity. Our research project focuses on the location of MC4R on the primary cilium of neurons. Bardet-Biedl […]
Forrest McCann

The stable isotopic composition of marine carbonates is an exemplary standard for reconstructing past Cenozoic climate. But, a fundamental question is whether these carbonates faithfully record their original isotopic composition, and to what extent have they been modified during burial. The relative abundance of isotopologues of carbonate with two rare isotopes (clumped isotopes) is a function of formation temperature and is leveraged to understand how carbonate samples were formed and modified through time. Recent work to reconstruct paleotemperatures from carbonate clumped isotopes found that samples from below 1,000 meters below […]
Peridot Park

The onset of neurodegenerative disease coincides with the destruction of synapses; simultaneously, endogenous self-correcting mechanisms are induced that turn up the gain of synaptic transmission, initially counteracting the effects of degeneration and preserving the flow of intercellular communication. This effect is termed homeostatic neuroprotection. Growing evidence has shown that homeostatic neuroprotection sustains neuronal structure and function, acting as a biochemical basis for cognitive resilience to degeneration and stress. Chronic stress is a major risk factor for the development of depression. The lateral habenula (LHb) has been implicated in the development […]
Zhicheng Li
Data loss is a major issue in modern electronics. Charged-based devices are vulnerable to ionizing radiation, while ferromagnetic-based memory devices are susceptible to data loss from external magnetic fields. However, Antiferromagnetic (AFM)-based memory devices are robust to both charge and magnetic field perturbations. There exist a few materials whose AFM spin textures can be electrically switched”: an applied current induces a spin polarization, exerting a spin-orbit torque on the magnetic domains. This torque rotates the conductivity tensor, providing a switch between distinct resistance states. My research seeks to leverage the […]
Albert Qiang

Metabolically engineering living organisms to synthesize chemicals is an exciting alternative to traditional production pipelines, allowing for the sustainable and scalable production of a wide array of useful compounds. However, dramatically altering the fundamental chemical behavior of organisms by introducing new biosynthetic pathways can often have unintended consequences on cellular growth. The expression of an unnatural pathway consumes valuable cellular resources, an effect known as metabolic burden that ultimately limits overall production. My research project seeks to better characterize the effect metabolic burden has on an existing engineered biosynthetic pathway […]
Ana Navidad Rayon

Undocumented students are an underrepresented group in higher education. One of their many challenges is having limited financial and academic opportunities as a result of their legal status. Institutions need to create intentional practices that expose undocumented students to resources and opportunities to dismantle inequalities in the college experience. This research study will seek to understand the degree to which community colleges assist undocumented students with navigating the education system by connecting them to opportunities and resources. I will also explore the extent to which undocumented students take advantage of […]
Eva Kerins

Working from the traditional canon of Homeric work and analysis, this project will explore the implications of disability, particularly blindness, and its relationships to the landscapes and language of Homer. After broadly defining the classical interpretations of disability, the project will explore how blindness is linguistically represented in Homer’s work and analyze, through research, his life and the landscapes he occupied and illustrated. The project will employ the concept of enargeia, a Homeric idea translated by Alice Oswald as “bright unbearable reality,” to contextualize the representation of blindness as divinely […]
Isabelle Lehman

Extracellular vesicles (EVs) are membrane-bound compartments that are exported out of cells. There are two major subpopulations of EVs: microvesicles and exosomes. Exosomes have garnered particular interest in the scientific community due to recent studies suggesting a role for exosomes in intercellular communication in both normal and disease states. Additionally, exosomes can be utilized as diagnostic biomarkers for a variety of disease conditions. Despite broad interest in exosomes, little is known about how their release is regulated. Rab27a and Rab27b are two very closely related proteins that regulate different steps […]
Arman Moayed

Our project goal is to better understand the role of BAR (Bin-amphiphysin-Rvs) proteins in clathrin-mediated endocytosis (CME) and study their interaction with endocytic branched actin networks, using the budding yeast Saccharomyces cerevisiae as a model organism. Most endocytic BAR proteins contain an N-terminal banana-shaped BAR domain that preferentially binds curved membranes and a C-terminal SRC-homology 3 (SH3) domain that interacts with numerous components of the endocytic machinery. BAR proteins are thought to stabilize and scaffold curved membranes as well as facilitate vesicle scission, but exact mechanisms of these functions remain […]
Jacob Krantz
Geometric flows, such as the Ricci flow, Yang-Mills flow, and harmonic map flow, are natural ways to smooth out geometric objects (metric, connection, and maps, respectively). In this project, we will explore the idea of using geometric flows to develop new analytic tools for studying geometric objects. A possible goal of this project is to use geometric flows to solve problems in dispersive PDEs that involve geometric objects.