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Summary of relevant research and industry experience.
Basics
| Name | Syed Asad Rizvi |
| Label | PhD Student (Research Assistant) |
| syed.rizvi@yale.edu | |
| Url | https://SyedA5688.github.io |
| 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
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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
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2019.08 - 2022.12 Houston, TX
Work
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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)
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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)
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2022.05 - 2022.08 Software Development Engineer Intern
Amazon, Austin, TX
Developed a launcher application for customer screen sharing sessions on Amazon Fire devices.
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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
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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.
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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
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2024.07.30 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.
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2024.05.05 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.
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2023.11.11 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.
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2022.12.03 Histopathology DatasetGAN: Synthesizing Large-Resolution Histopathology Datasets
IEEE SPMB 2022
Convolutional Neural Network architecture for large-resolution medical image generation and segmentation.
Awards
- 2022.01.01
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.'
- 2021.01.01
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.'
- 2020.08.23
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.'
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.