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PhD

Yale University, New Haven, CT

Computer Science

• Deep Learning on Graph-Structured Data
• AI Foundation Models
• Artificial Intelligence

Bachelor of Science

University of Houston, Houston, TX

Computer Science

Graduate Research Assistant at vanDijkLab

Yale University, New Haven, CT

Advised by Prof. David van Dijk, researching applications of Graph Neural Networks and Foundational models to large-scale biological data.

• FIMP: Foundation Model-Informed Message-Passing for Graph Neural Networks
• Cell2Sentence: Teaching Large Language Models the Language of Biology (ICML 2024)
• BrainLM: A Foundational Model for Brain Activity Recordings (ICLR 2024)

Undergraduate Research Intern at DATA Lab

Rice University, Houston, TX

Advised by Prof. Xia Hu, researching contrastive learning and interpretability in vision-language models for radiology data.

• LRCLR: Local contrastive learning for medical image recognition (AMIA 2023)

Software Development Engineer Intern

Amazon, Austin, TX

Developed a launcher application for customer screen sharing sessions on Amazon Fire devices.

Undergraduate Research Intern

Houston Methodist, Houston, TX

Advised by Prof. Vittorio Cristini and Prof. Prashant Dogra, researching spatiotemporal forecasting of COVID-19 infections using Graph Neural Networks.

• Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics

Information Technology Intern

Phillips 66, Houston, TX

Trained entitiy recognition models on land exchange contract documents and deployed models to AzureML Cloud Platform.

Undergraduate Research Intern at HULA Lab

University of Houston, Houston, TX

Advised by Prof. Hien van Nguyen, researching Convolutional Neural Network architectures for medical image generation and segmentation.

• Histopathology DatasetGAN: Synthesizing Large-Resolution Histopathology Datasets (IEEE SPMB 2022)

Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics

Nature Scientific Reports

Spatiotemporal Graph Neural Network architecture for COVID-19 infection forecasting, focusing on modeling dynamic flight connections between regions.

Cell2Sentence: Teaching Large Language Models the Language of Biology

ICML 2024

A novel method for directly adapting Large Language Models to model single-cell transcriptomics data.

BrainLM: A Foundation Model for Brain Activity Recordings

ICLR 2024

A foundation model for brain activity dynamics trained on 6,700 hours of fMRI recordings.

Local Contrastive Learning for Medical Image Recognition

AMIA 2023

A fintuning framework for vision-language models which introduces interpretability and significant image region selection in radiology images.

Histopathology DatasetGAN: Synthesizing Large-Resolution Histopathology Datasets

IEEE SPMB 2022

Convolutional Neural Network architecture for large-resolution medical image generation and segmentation.

Provost's Undergraduate Research Scholarship

University of Houston

Awarded $1000 scholarship for research work on Convolutional Neural Network architectures for medical image diagnosis and generation.'

First prize in 2021 HP & AWS Bot-a-thon

Hewlett Packard and Amazon Web Services

Developed an AWS Lex chatbot generation pipeline with a team of 3, placing first overall in the 2021 HP & AWS botathon among 20+ teams.'

Third prize in 2020 AWS & NVIDIA Environmental Hackathon

Amazon Web Services

Awarded $3000 for anomaly detection method based on autoencoder models for environmental sensor data.'

AWS Lex Bot Generation Pipeline

AWS Lex chatbot generation pipeline using AWS.

• 1st place finish in HP & AWS Bot-a-thon 2021

Autoencoder Anomaly Detection

Autoencoder-based anomaly detection in environmental sensor data from Amazon Seattle Sphere.

• 3rd place finish in AWS Environmental Hackathon 2020

NutrientView Mobile App

Mobile application built using React Native which tracks nutrient consumption throughout the day using image recognition and nutrient APIs.