Summary of relevant research and industry experience.


Name Syed Asad Rizvi
Label PhD Student (Research Assistant)
Research interests My primary research interests lie at the intersection of Graph Neural Networks and Foundation Models, particularly in applications to large-scale biological data.


  • 2023.08 - Present

    New Haven, CT

    Yale University, New Haven, CT
    Computer Science
    • Deep Learning on Graph-Structured Data
    • AI Foundation Models
    • Artificial Intelligence
  • 2019.08 - 2022.12

    Houston, TX

    Bachelor of Science
    University of Houston, Houston, TX
    Computer Science


  • 2023.08 - Present
    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)
  • 2022.08 - 2023.03
    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)
  • 2022.05 - 2022.08
    Software Development Engineer Intern
    Amazon, Austin, TX
    Developed a launcher application for customer screen sharing sessions on Amazon Fire devices.
  • 2021.12 - 2022.08
    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
  • 2021.05 - 2021.08
    Information Technology Intern
    Phillips 66, Houston, TX
    Trained entitiy recognition models on land exchange contract documents and deployed models to AzureML Cloud Platform.
  • 2020.09 - 2022.05
    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)




IBM Data Science
IBM 2021-08-17
Machine Learning
Stanford University 2021-02-04


Deep Learning
Pytorch Geometric


  • 2021.01 - 2021.01
    AWS Lex Bot Generation Pipeline
    AWS Lex chatbot generation pipeline using AWS.
    • 1st place finish in HP & AWS Bot-a-thon 2021
  • 2020.08 - 2020.08
    Autoencoder Anomaly Detection
    Autoencoder-based anomaly detection in environmental sensor data from Amazon Seattle Sphere.
    • 3rd place finish in AWS Environmental Hackathon 2020
  • 2020.07 - 2020.07
    NutrientView Mobile App
    Mobile application built using React Native which tracks nutrient consumption throughout the day using image recognition and nutrient APIs.