Visiting Graduate Student at UCSD- Rady School of Management

Our research leverages large language models (LLMs) to analyze text data from Reddit and StockTwits, exploring differences in investing styles between Republican and Democrat retail investors. Building on Cookson et al. (2020), we will use advanced LLM techniques to classify political affiliations based on language patterns and analyze retail investor sentiment from 2010 onwards. Cookson […]

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The Experiences and Practices of Mexican Novice Scholars in Writing for Scholarly Publication: A Mixed Methods Research Inquiry

Given global competitiveness for quality research articulated through scholarly publication, this study examines (I) the challenges faced by Mexican novice scholars in writing for scholarly publication in academic journals, and (2) the ways in which these novice scholars are supported in Mexican academic context and by expert members of their academic community in communicating their […]

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Improving AI by Learning Directly from Human Preferences

Our project aims to improve how AI models learn from human feedback. Current methods assume human preferences can be reduced to a single “reward” value, but research shows this isn’t always true. We will investigate if an AI algorithm can learn from human preferences without relying on rewards. If possible, we’ll design and test algorithms […]

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Understanding Suicidality Risk Among Undergraduate Students: A Quantitative Overview

The presenting research internship aims to analyze the results of a campus-wide survey of at-risk undergraduate students at the University of Wollongong in Australia on their thoughts and ideas regarding suicide. The research interns — Maxime Gilbert and Zachary Fry — will each contribute to this research by analyzing the findings and subsequently formulating a […]

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Enantioselective Ni-Catalyzed Arylation of NHP Esters Enabled by Continuous Flow

Chemical reactions are traditionally run as single batches in glasswear such as vials or round-bottom flasks. Conversely, flow chemistry is a discipline in which reactions are run in a continuously flowing stream. Flow chemistry offers several advantages over batch chemistry, such as improved mass transfer, increased efficiency, reduced waste, improved scalability, and greater control over […]

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Techno-economic analysis of different SAF pathways

Sustainable aviation fuels (SAF) will be urgently required to decarbonize the aviation sector and achieve net-zero emissions by 2050. Different production pathways are already well identified, but the technical and economic challenges and impacts of deploying these pathways are still poorly understood. This project aims at exploring different SAF pathways (Hydroprocessed Esters and Fatty Acids […]

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Game theoretic modeling of joint forest management in India

The project involves conducting of field experiments to derive social preferences and discount rates of the individuals in Indian villages. Government of India had launched the joint forest management (JFM) program in 1990, whereby local community is involved in the forest management. The program has not been uniformly successful across the country. The idea of […]

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Science museums, controversies and public engagement: Brazilian and Canadian experiences

Through this research project I would like to explore the role of science museums in fostering engagement with science and technology, particularly, when controversial issues are at play (e.g. reproductive technologies, renewable energies, genetically modified food). It will focus on the ways in which museums exhibits communicate with visitors and, also, on the ways visitors […]

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Exploring Thalamo-Prefrontal Cortex Connectivity: A multimodal analysis using cutting-edge neuroimaging and a high-resolution histology-based atlas

The prefrontal cortex (PFC), the front part of the brain, plays a crucial role in high-level cognitive functions such as self-awareness, working memory, problem-solving, and emotional regulation. Damage to this region can lead to significant personality changes, as famously illustrated by the case of Phineas Gage, an American railworker in the 19th century who survived […]

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Drug development for anticancer therapy: Discovery of New Inhibitors for Lin28

Prostate cancer is the most prevalent malignancy among Canadian men. While treatments exist, many tumors are resistant, highlighting the urgent need to develop more effective therapies. This project aims to develop new drugs for prostate cancer by inhibiting the Lin28 protein, which increases cancer cells’ growth and resistance to treatments. This will be achieved by […]

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Computational Modeling of Fluid-Structure-Chemical Interactions in Fish Swimming

Aquatic species, such as fish use effective methods for navigation and propulsion in marine environments. Understanding these functionalities of detecting predators, preys, food, and mates by sensing changes in water velocity and pressure offer valuable insights to design efficient underwater robots. Although underwater odor and chemical cues are crucial for fish navigation, the exact mechanisms […]

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