Serena Huang
Peripheral membrane proteins are critical for many biological processes and are important targets for drug development, but their structural analysis remains challenging using traditional techniques. My project aims to develop a new method for characterizing membrane-associated proteins with single-particle cryo-EM by creating supported lipid bilayers (SLBs) directly onto cryo-EM grids. SLBs offer a native-like, fluid environment that better preserves protein structure and function compared to nanodiscs or liposomes, which can restrict movement or interfere with imaging. By forming SLBs on grids and attaching membrane-associated proteins, this system could minimize protein […]
Sarah Adler
40% of the human and mouse genomes are composed of transposable elements, as compared to only 2% protein-coding genes. Transposable elements are non-coding genes that can jump around the genome, and are thought to be “junk” DNA. Recent studies have indicated that a subset of these elements are functional and/or essential for normal host function. MERVL is a family of murine endogenous retroviruses. ERVs are a type of transposable element that retain gene structure similar to exogenous retroviruses such as HIV. MERVL is solely and highly expressed during early mouse […]
Sanya Sitlani
Pinyon-juniper woodlands, one of the dominant semiarid ecosystems in North America, are experiencing increasing drought-related mortality due to climate change. Single-leaf pinyon pine (Pinus monophylla), a key species in these ecosystems, is considered drought-adapted but remains highly vulnerable to prolonged water stress. Given its long lifespan and limited ability to migrate, P. monophylla may rely on phenotypic plasticity—adjusting physical traits in response to environmental variation—to persist in a changing climate. I will examine the plastic response of P. monophylla needle traits across a climate and elevation gradient to assess adaptive […]
Sanoja Sridevan
As a result of excess light, algae produce reactive oxygen species (ROS), which degrade DNA, proteins, and lipids throughout the cell. To protect themselves, they often biosynthesize antioxidants such as small thiols. Glutathione, the most studied thiol antioxidant, has two mechanisms: direct reduction of ROS and post-translational modification of cysteine residues. During the past year, I helped show that Clamydomonas reinhardtii and Auxenochlorella protothecoides, two microalgae species, also produce other small thiols, ovothiol and ergothioneine respectively. We have evidence ovothiol directly reduces ROS similarly to glutathione. This summer I will […]
Ryan Kuo
In the high-stakes world of aerospace engineering, every landing is a battle against extreme forces. To ensure safer, reusable launch systems, we need materials that don’t just absorb impact but also protect our loads from intense conditions. Traditional architected metamaterials often fail due to highly localized stress concentrations that lead to deformation, strut buckling, or surface cracks, which can then propagate and compromise structural integrity. In contrast, tensegrity structures—geometrically intricate frameworks of tension and compression components—offer a promising alternative by delocalizing the deformation. Despite their potential, additively manufactured tensegrity structures […]
Olivia Deantoni
Muscle stem cells (MuSCs) are the myogenic progenitors essential for muscle regeneration. However, aging impairs the myogenic function of MuSCs, leading impaired regeneration and contributing to the progressive loss of muscle mass and strength with age, termed sarcopenia. Sarcopenia decreases mobility, increases fall risk, and reduces overall quality of life. Effective skeletal muscle repair requires MuSCs to interact with fibro-adipogenic progenitors (FAPs), which regulates fibrosis, adipogenesis and thus regeneration. Aged FAPs lead to significantly increased fibrosis contributing to reduced MuSCs function resulting in severely compromised repair in aged. Our laboratory […]
Nora Dunphy
Large Language Models (LLMs) like ChatGPT excel at generating human-like responses by predicting the next word in a sequence based on statistical patterns in their training data. While effective, this approach does not fully align with how humans use language. Human communication is not merely predictive—it is goal-oriented and intent-driven. When we speak, we do so with purpose, whether giving a command, asking a question, or engaging in small talk to build rapport. This project aims to explore how LLMs represent this concept of speaker intent without relying on human-labeled […]
Nishanth Chavourkar
How do cells in a developing embryo robustly decode which genes to activate or silence from noisy molecular inputs? The aim of this project is to quantify the effect of these cellular input signals (transcription factors) on the transcription of developmental genes in the Drosophila (fruit fly) embryo. Even though transcription has been studied in cultured cells, our understanding of how this intricate process unfolds in a living animal undergoing development is limited. Furthermore, we aim to characterize transcriptional activity through an analysis of RNA polymerase loading rate as opposed […]
Makayla Hu
There are many different options for quantum computing platforms or qubits, including but not limited to trapped ions, neutral atoms, and supercomputing. We want to implement a qubit encoded within the spin states of a free electron trapped in a Paul trap (oscillating quadrupole electric field). An electron qubit has the advantages of fast gate times, which result from the small mass of a singular electron, and not needing lasers to run computations. However, the lack of optical transitions means that the electron cannot be laser cooled like ions and […]
Madhavi Prakash
Eigenvalue problems are central to scientific computing, but solving them efficiently becomes difficult when input matrices are ill-conditioned or non-normal. I began this project by asking whether random perturbations–commonly used in pseudospectral shattering to stabilize these problems–could be replaced by a more structured method. Over the summer, I shifted focus to stochastic rounding, a hardware-friendly, unbiased alternative that modern chips can perform natively. By applying this technique entry-wise, I was able to “shatter” the pseudospectrum and recover clean spectral splits, enabling diagonalization via divide-and-conquer eigensolvers. Experiments across a wide range […]