Displaying 1 - 35 of 40

UV Completion of Aristotelian Yang-Mills and Topological Methods in HL Gravity

Alexander Frenkel : Physics Summer 2018

Symmetry is a very important and beautiful tool in physics. From every symmetry in a physical system, one can derive a conserved quantity. However, when one attempts to study various quantum systems with interesting and useful symmetries compatible with Einstein's Special Theory of Relativity, one finds that some of them fall apart and create divergences at high... Read More

Investigating the Role of a Truncated LRRK2 Product in Parkinson’s Disease

Lotus Lum : Molecular Cell Biology Summer 2018

One million Americans suffer from Parkinson's Disease (PD), a fatal neurodegenerative disorder characterized by neuronal death and motor symptoms such as bradykinesia and tremors. Unfortunately, there is no treatment that prevents, reverses or even delays PD. My research focuses on the protein called the Leucine Rich Repeat Kinase 2 (LRRK2), which is the most common... Read More

Investigating how mTORC1 Hyperactivity Affects Autophagy and Mitophagy in Dopamine Neurons

Kamran Ahmed : Molecular and Cellular Biology (Neurobiology) Summer 2018

The mammalian target of rapamycin complex 1 (mTORC1) is a protein complex that activates protein synthesis, modulates cell growth and proliferation, and regulates autophagy. Loss-of-function mutations in the TSC1 or TSC2 genes, which negatively regulate mTORC1, result in complex hyperactivity causing the syndromic neurodevelopmental disorder Tuberous Sclerosis Complex... Read More

Optimizing Our Search for Fast Radio Bursts with Realfast at the Very Large Array Telescope

Sabrina Berger : Physics and Astrophysics Summer 2018

The Very Large Array (VLA) radio interferometer in New Mexico is an excellent instrument to look for radio transients such as fast radio bursts (FRBs). FRBs are intense radio signals lasting milliseconds that do not yet have a confirmed origin. An interferometer employs an array of radio telescopes to observe radio frequencies. FRBs are a new major interest in radio... Read More

Investigating the role of Ras proteins in TORC2 localization in Saccharomyces cerevisiae

Jessica Bonnar : Molecular and Cell Biology Summer 2018

In eukaryotes, an essential growth regulator is a multi-subunit, plasma membrane(PM)-associated protein kinase, the Target of Rapamycin Complex 2 (or TORC2). Work using Saccharomyces cerevisiae has established that TORC2 is responsible for controlling processes that preserve PM homeostasis and that regulate actin polymerization. Studies have shown that the localization... Read More

Using Electrocorticographic Gamma Oscillation to Explore Models of Movement Preparation in Humans

Connor William Brown : Cognitive Science Major, EECS Minor Summer 2018

Movement preparation and execution are central to our everyday experience, yet we do not yet understand how the complex motor computations required for these actions are performed. In an attempt to understand how movements are prepared, many models have been created--using brain activity to predict someone’s intended movement before it is executed--with limited... Read More

Synthesizing and Investigating the Magnetic properties of new Honeycomb Iridate, Ag2IrO3

Sanyum Channa : Physics Summer 2018

Honeycomb iridates are a class of compounds that were theoretically predicted to be spin liquids, i.e. materials that lacked magnetic ordering due to their magnetic spin interactions. However, due to real-world deviations from theory, compounds like Lithium Iridate have been extensively studied to show fascinating forms of magnetism (like spiral and zig-zag orderings... Read More

Analysis of Matrix Multiplication Complexity Using Properties of Tensors

Nathan Cheng : Mathematics and Computer Science Summer 2018

Matrix multiplication is one of the most foundational mathematical operations, and has deep connections to many areas of math, including algebra, geometry, and combinatorics. There is huge incentive to improve the speed of matrix multiplication as well as understand the inherent bounds on its complexity, due to its importance in applied mathematics and the... Read More

Calcium-Dependent Neuronal Activity Visualisation via a Bioluminescent Reporter

Kirill Chesnov : MCB Neurobiology, Computer Science Summer 2018

My project aims to develop an improved method for reporting calcium influx in vitro and in vivo. Bioluminescent calcium sensing is aimed at allowing researchers to accurately and quantitatively observe neuronal activity. Compared to conventional fluorescent calcium sensing, bioluminescent calcium sensing does not produce any noise in the data, does not have crosstalk... Read More

The Effects of Practice Schedule on Motor Learning

Kristy Dang : Integrative Biology & Sociology Summer 2018

Practice is an important process for anyone attempting to learn a new skill. Repeatedly performing the skill has been proven to lead to better learning . However, how should people organize their practice schedule if they want to learn multiple skills simultaneously? Is it more optimal to master each skill separately or all at once in a random order? There are multiple... Read More

In Vitro Reconstitution of mTORC1 Recruitment Using a Supported Lipid Bilayer System

Ann Deng : MCB, Music Summer 2018

In recent years, our view of the lysosome has changed from “the cell’s ‘recycle bin’” to a sophisticated metabolic signaling center. The lysosome is the site of recruitment and activation of the mammalian Target of Rapamycin Complex 1 (mTORC1), a master regulator of cell growth and metabolism. The surfaces of lysosomes harbor many different chemical sensors that... Read More

3D City-scape Reconstruction from Motion

Zisu Dong : Computer Science Summer 2018

Reconstructing dense models of real-world 3D scenes is important for autonomous driving tasks. However, motion estimation for an agile single camera moving through general, unknown scenes has proved to be a challenging problem. The task becomes much more challenging in autonomous driving when real-time performance is required under disturbance of transient change of... Read More

Tuning Magnetic Ordering in Intercalated Transition Metal Dichalcogenides

Spencer Doyle : Physics Summer 2018

Transition metal dichalcogenides make up a class of 2D semiconductors that are of high interest in the field of condensed matter currently. I plan on synthesizing two primary intercalated versions of these compounds: Fe(1/3)NbS2 and Fe(1/3)TaS2. These two compounds have competing magnetic orderings (antiferromagnetism and ferromagnetism respectively), so what happens... Read More

Analysis of Matrix Multiplication Complexity Using Properties of Tensors

Jiahan Du : Math Summer 2018

The rich theory of algebraic computational complexity aims to study the complexity of objects with an intrinsic mathematical structure. In particular, for each n, matrix multiplication of two n × n matrices can be expressed as a bilinear map, which corresponds to a tensor via a well-known isomorphism. The rank of this tensor controls the asymptotic complexity of matrix... Read More

Exploring the role of nucleosome positioning on gene silencing in Saccharomyces cerevisiae

Delaney Farris : MCB- Genetics, Genomics, and Development Summer 2018

Nuclear DNA is subjected to various levels of compaction, including tight wrapping around histone proteins producing densely packed, relatively inaccessible regions of heterochromatin. How nucleosome positioning is established and maintained is an area of active study. Understanding nucleosome positioning allows further understanding of proper and improper... Read More

Synergy Analysis in Radiobiology using Incremental Effect Additivity

Dae Woong Ham : Applied Mathematics and Statistics Summer 2018

The current theory we are interested that is applicable in radiobiology uses a mathematically lacking model for specifically modelling dose and effect relationship. This lacking model is especially inappropriate for settings where the dose effect relations are highly curvilinear, which will seriously hinder many researchers from developing synergy theory, a concept of... Read More

Investigating the Egyptian Fruit Bat as a Mammalian Model for Vocal Learning

Maria Ji : Psychology Summer 2018

Vocal learning is the ability to produce vocalizations using auditory feedback to guide learning. Vocal learning has been explored extensively in songbirds and humans, but never within a tractable mammalian model species. By using two approaches, mapping vocal motor pathways and identifying auditory networks, I aim to investigate the neural circuitry of vocal learning... Read More

Computational Modeling of Reinforcement Learning and Working Memory Systems

Haley Keglovits : Cognitive Science and Computer Science Summer 2018

Learning is paramount to human success, but the complex processes that underlie it are poorly understood. While cognitive models adequately explain some learning mechanisms, much remains to be discovered about the interactions between different mechanisms. Reinforcement learning (RL) is a slow and robust process that relies on external rewards to guide behavior.... Read More

Investigating the Role of Lipoproteins in Listeria monocytogenes Pathogenesis

Maria Krasilnikov : Molecular and Cell Biology: Immunology and Pathogenesis Summer 2018

Listeria monocytogenes is a facultative intracellular bacterial pathogen that is being developed as a vaccine vector. The potential for L. monocytogenes as a vaccine vector stems from its ability to invade host cells and its genetic tractability, which allows us to make mutants that express antigens and are avirulent. However, it has been shown that... Read More

Binding Determinants of Dengue Virus NS1 to Human Endothelial Cells

Kendall E. Lee : Public Health Summer 2018

Dengue virus (DENV) is the most prevalent mosquito-borne virus worldwide, causing ~390 million infections annually. Disease ranges from inapparent infection to classic dengue fever to severe dengue, characterized by vascular leak that can lead to systemic shock, organ failure, and death.

Non-structural protein 1 (NS1) is the only protein secreted from DENV-... Read More

Advancing Neural Machine Translation in Speed and Accuracy

Evelyn Li : Computer Science Summer 2018

Language is a crowning achievement of human civilization and a defining characteristic of human intelligence. There are over 5000 languages spoken in the world. Most people speak only a handful of languages, so translation is critical to overcoming barriers in communication. Unfortunately, translation is laborious and challenging, and cannot be done manually at... Read More

Analysis of Matrix Multiplication Complexity Using Properties of Tensors

Yu Ma : Applied Mathematics Summer 2018

Matrix multiplication is one of the most foundational mathematical operations. Understanding this operation is a sophisticated mathematical question, which has been the subject of extensive research over the years. There is huge incentive to improve the speed of matrix multiplication as well as understand the inherent bounds on its complexity.

The rich theory of... Read More

Investigating the ability of gut commensals to confer ammonia resistance to worm hosts

Vivek Narayan : Molecular and Cell Biology Summer 2018

Within the last decade, research on the microbiota has begun to shed light on the immense contribution of gut microbes to host health, metabolism, immunity, and reproduction. Even more recently, studies have identified systems in which animals that are exposed to a toxin have acquired gut bacteria that confer resistance to the animal host. I am particularly interested... Read More

Atomically Resolved Measurement of Electromigration

Kyler Natividad : Physics Summer 2018

Electromigration is a phenomenon in which an electric current induces the gradual motion of atoms in a conductor. While electromigration has been observed at the macroscopic scale, its fundamental mechanisms are not well-understood at the atomic scale. The goal of my research project is to investigate the interaction between the electric current and conductor-... Read More

Investigating the Genetic Basis of Photoperiodic Flowering in Mimulus guttatus

Adrian Overly : Molecular & Cell Biology Summer 2018

Critical photoperiod, the threshold day length that accelerates or is required for flowering, allows plants to flower in response to seasonal cues that indicate environmental conditions should be favorable for seed development. Twenty-first century climate change, however, has led to changing precipitation and temperature patterns, and because day length will remain... Read More

Development of a Novel 3D Bioscaffold for Trabecular Meshwork Cell Culture

Greg Pommier : Molecular and Cell Biology Summer 2018

Glaucoma is a leading cause of irreversible vision loss around the world. Primary open angle glaucoma (POAG), the most common form of glaucoma, arises from functional and morphological pathologies in the trabecular meshwork (TM), a band of tissue in the anterior segment of the eye that regulates intraocular pressure (IOP) by controlling outflow of the aqueous humor.... Read More

Untangling evolutionary relationships among Polystichum californicum and its progenitors

Jonathan Qu : Integrative Biology Summer 2018

While speciation (the formation of new species) is often thought of as occurring through the splitting of one species into two, species can arise through other mechanisms, such as allopolyploidy. Allopolyploidy occurs through the formation of a hybrid between two species, followed by genome duplication. This mechanism of speciation is common in plants, including in... Read More

Electrostatic potential field maps of antimatter traps using numerical analysis

Dalila Robledo : Physics Summer 2018

According to the Standard Model, all baryonic matter is predicted to have a corresponding antiparticle. From this premise, we currently don’t understand why we observe more matter than antimatter, making the study of antimatter a fascinating subject. My research project is with the ALPHA experiment at CERN, which produces antihydrogen. Composed of an antiproton... Read More

Exploring the Relationship between Feedback and Use-Dependent Learning

Arohi Saxena : Molecular and Cell Biology Summer 2018

Use-dependent learning is a motor learning process that is thought to arise from the repetition of a specific movement pattern. Use-dependent learning is thought to underlie the refinement of motor skills, such that well-practiced actions become more accurate and consistent (the “practice makes perfect” phenomenon); however, this learning process also comes at... Read More

Analysis of Matrix Multiplication Complexity Using Properties of Tensors

Nikhil Sharma : Mathematics and Computer Science Summer 2018

Matrix multiplication is one of the most fundamental operations in mathematics, and its usage is extensively pervasive in modern-day computer systems; innumerable algorithms employ techniques from linear algebra in their implementation. As a result, it's critical to perform matrix multiplication as quickly as possible to ensure the smooth and efficient performance of... Read More

Investigating the membrane remodeling activity of ESCRT-III helical polymers with ATPase spastin

Jamie Shiah : MCB: Biochemistry and Molecular Biology Summer 2018

The endosomal sorting complex required for transport (ESCRT) complexes encompass an evolutionarily conserved, multi-subunit machinery that mediates unique membrane remodeling and scission away from the cytoplasm. This requires stabilization of negative membrane curvature, as induced by the ESCRT complexes.

Now, studies have shown that ESCRTs can also direct... Read More

Understanding the effect of Cnr2 knockout on microglial immune response

Anagh Sinha : Molecular and Cell Biology Summer 2018

Major Depressive Disorder (MDD) is a devastating neuropsychiatric disorder affecting 16 million people in the United States, with an estimated public burden of $210 billion/year. Yet, mechanisms leading to MDD progression remain poorly understood. Persistent activation of microglia, resident immune cells of the brain, has been previously linked to depression. This... Read More

Learning the quantum trajectories of two entangled qubits using a recurrent neural network

Noah Stevenson : Physics Summer 2018

Theoretical and experimental evidence suggests harnessing quantum mechanics to execute algorithms on qubit-based quantum hardware may allow us to calculate answers to intractable mathematical problems and process data exponentially faster than is possible with “classical” computers. Characterizing how qubit states evolve in time is imperative for benchmarking quantum... Read More

Methods of Symmetry Optimization for the Computation of Electronic Properties

Brian Stone : Physics Summer 2018

In solid-state physics, the theory of electronic band structures successfully explains many physical properties of solids. Band structures, which describe the range of allowed energies of an electron in a solid, form the foundation of our understanding of solid-state devices, such as transistors and solar cells. I plan to develop, modify, and utilize... Read More

Dissection of Brainstem-Midbrain Circuits in Sensory Information Processing

Hannah Tak : MCB Neurobiology Summer 2018

The lateral parabrachial nucleus (LPB) is a region in the mammalian brain that is involved in regulating diverse behaviors associated with pain and aversion as well as feeding behaviors. Many neurons in the LPB are glutamatergic and project to widespread brain areas including the amygdala, periaqueductal gray, ventral tegmental area (VTA) and substantia nigra (SN).... Read More