cv

Summary of relevant research and industry experience.

Basics

Name Syed Asad Rizvi
Label PhD Student (Research Assistant)
Email syed.rizvi@yale.edu
Url https://syedarizvi.com/
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.

Education

  • 2023.08 - Present

    New Haven, CT

    PhD
    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

Work

  • 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)

Publications

Awards

Certificates

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

Skills

Programming
Python
C++
Java
R
Deep Learning
Pytorch
Pytorch Geometric

Projects

  • 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.