Jay Shah



Contact

jgshah1@asu.edu

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jaygshah22
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JayShahML


I am a 2nd year PhD student at Arizona State University, co-advised by Dr. Baoxin Li and Dr. Teresa Wu

I am currently focused on developing novel models and algorithms using Deep Learning for biomarker discovery, using multi-modal data and tackling issue of small datasets. Broadly my research interests lie in Computer Vision, Medical Imaging and Deep Learning

Specifically I am working on solving following research questions using Machine Learning:

  1. Multidisciplinary translational approach investigating mechanisms, and prevention of Persistent Post-Traumatic Headache
  2. Capturing Imaging signatures of Brain-Age in Alzheimer's Disease
  3. Pathways linking NeuroPsychiatric symptoms with Alzheimer’s Disease neuroimaging biomarkers and the outcome of incident mild cognitive impairment/dementia

These research projects are in joint collaboration with Mayo Clinic, Banner Alzheimer's Institute and Barrow Neurological Institute in Arizona respectively.

I am also the host of Jay Shah Podcast on YouTube where I invite Machine Learning engineers, researchers and practitioners to talk more their jounrney, insights from their experience and tips on getting started.

Journals

  • Deep Residual Inception Encoder-Decoder Network for Amyloid PET Harmonization
    Jay Shah, Fei Gao, Valentina Ghisays, Ji Luo, Yinghua Chen, Wendy Lee, Yuxiang Zhou, Tammie L.S. Benzinger, Eric M. Reiman, Kewei Chen, Yi Su, Teresa Wu
    Alzheimer's & Dementia, the Journal of Alzheimer's Association, 2022
    PDF [impact fator=21.5]

  • (Ongoing revision) Transfer Learning based MCI to AD conversion prediction using Age-adjusted Deep Neural Network and APOE genotypes
    Jay Shah, Kewei Chen, Yi Su, Teresa Wu
    Alzheimer's & Dementia, the Journal of Alzheimer's Association, 2022

  • (Ongoing revision) Using Deep Learning Ensembles to identify Imaging Biomakers for Migraine and Post-Traumatic Headache
    Md Mahfuzur Rahman Siddiquee, Jay Shah, Todd Schwedt, Catherine Chong, Simona Nikolova, Gina Dumkrieger, Katherine Ross, Teresa Wu
    Cephalalgia Journal

Conferences & Abstracts

  • MRI signatures of Brain Age in the Alzheimer’s Disease continuum
    Jay Shah, Valentina Ghisays, Yinghua Chen, Ji Luo, Baoxin Li, Eric M. Reiman, Kewei Chen, Teresa Wu, Yi Su
    Alzheimer's Association International Conference, 2022

  • Transfer Learning based Deep Encoder Decoder Network for Amyloid PET Harmonization with Small Datasets
    Jay Shah, Kewei Chen, Eric M. Reiman, Baoxin Li, Teresa Wu, Yi Su
    Alzheimer's Association International Conference, 2022

  • Classification of Post-Traumatic Headache (PTH) using Deep Learning on Structural Brain MRI data
    Md Mahfuzur Rahman Siddiquee, Jay Shah, Todd Schwedt, Catherine Chong, Simona Nikolova, Gina Dumkrieger, Katherine Ross, Visar Berisha, Jing Li, Teresa Wu
    American Headache Society 64th Annual Scientific Meeting June 9–12, 2022 Denver, Colorado. Headache, 62: 91
    PDF

  • Migraine Classification using Deep Learning on Structural Brain MRI data
    Md Mahfuzur Rahman Siddiquee, Jay Shah, Todd Schwedt, Catherine Chong, Simona Nikolova, Gina Dumkrieger, Katherine Ross, Visar Berisha, Jing Li, Teresa Wu
    American Headache Society 64th Annual Scientific Meeting June 9–12, 2022 Denver, Colorado. Headache, 62: 91-92
    PDF

  • Deep Residual Inception Encoder-Decoder Network for Amyloid PET Harmonization
    Jay Shah, Valentina Ghisays, Ji Luo, Yinghua Chen, Wendy Lee, Baoxin Li, Tammie L.S. Benzinger, Eric M. Reiman, Kewei Chen, Yi Su, Teresa Wu
    Arizona Alzheimer’s Consortium, 2021

  • Interpreting Deep Learning Model Predictions using Shapley Values
    Jay Shah, Catherine Chong, Todd Schwedt, Visar Berisha, Jing Li, Katherine Ross, Gina Dumkrieger, Jianwei Zhang, Nathan Gaw, Simona Nikolova, Teresa Wu
    INFORMS Annual Meeting, 2021

  • Deep Residual Inception Encoder-Decoder Network for Amyloid PET Harmonization
    Jay Shah, Valentina Ghisays, Ji Luo, Yinghua Chen, Wendy Lee, Baoxin Li, Tammie L.S. Benzinger, Eric M. Reiman, Kewei Chen, Yi Su, Teresa Wu
    Alzheimer’s Association International Conference, 2021
    PDF

Patents

  • (Provisional, #63285002) Deep Residual Inception Encoder-Decoder Network for Amyloid PET Harmonization, 12/01/2021,
    Fei Gao, Yi Su, Jay Shah, Teresa Wu.

  • Research Scientist Intern
    Amazon, Seattle (Health Halo Computer Vision)
    05.2022 - Present

  • Research Assistant, Ph.D. Student
    Arizona State University, Tempe (with Mayo Clinic & BannerHealth)
    05.2020 - Present

  • Graduate Teaching Assistant
    Arizona State University, Tempe
    10.2019 - 05.2020

  • Research Intern - Computer Vision
    Philips Research Labs, Cambridge
    06.2019 - 08.2019

  • Graduate Research Assistant
    Arizona State University, Tempe
    11.2018 - 06.2019

  • Machine Learning Engineer Intern
    HackerRank, Bengaluru
    01.2018 - 05.2018

  • Visiting Research Assistant
    Nanyang Technological University, Bengaluru
    05.2017 - 08.2017

  • Undergraduate Research Assistant
    Dhirubhai Ambani Institute of Info. & Comm. Technology, Gandhinagar
    05.2016 - 08.2016

  • Fulton Schools CS Doctoral student & researcher explores the quickly evolving world of AI and related smart tech advances on popular podcast  link
    • FullCircle, Arizona State University Newsletter
  • Using AI to battle Alzheimer’s  link asu news
    • FullCircle, Arizona State University Newsletter
  • 5 Best Machine Learning & AI Podcasts  link
    • Unite[dot]AI, Futurist series
  • 20 best Machine Learning Podcasts of 2021  link
    • Welp Magazine
  • Speaking at Emerging Research Topics in Engineering(ERTE)  link
    • IEEE Gujarat Section
  • Three Ways Deep Learning Yields New Insights for Medical Researchers  link
    • IEEE Transmitter
  • Landscape of Explainable AI, Interpreting Deep Learning predictions and my observations from hosting an ML Podcast  link
    • 4th OnCV&AI workshop arranged by the Nordling Lab, National Cheng Kung University in Taiwan
  • From DA-IICT to Arizona State University and working with Nobel Laureate Frank Wilczek: Journey of Jay Shah  link
    • DA-IICT Blog
  • How AI could revolutionize biology — and vice versa  link
    • Axios
  • Interview on growing a technical podcast   link link
    • IEEE Spectrum and IEEE TV
  • Behind the scenes with a Machine Learning Expert : Jay Shah  link
    • Curryup Leadership Podcast
  • Python Workshop  2020 Convolutional Neural Networks   2020 2021
    • AI Club, Arizona State University