Fun fact - Dogs can’t go through MRI’s. But cat scan!
I will be starting my Machine Learning Engineer Internship at Zscaler at San Jose office, hosted by James Zhu.
My wife and I release an open-access tool MetaMate to streamline the data extraction process for educational systematic reviews and meta-analyses.
Our paper An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing for Information Extraction has been accepted to npj Digital Medicine (IF: 15.2)!
Our paper Rethinking Transfer Learning for Medical Image Classification has been accepted to BMVC 2023 (oral)!
Our paper Ability of Artificial Intelligence to Identify Self-Reported Race in Chest X-Ray Using Pixel Intensity Counts has been accepted to Journal of Medical Imaging (JMI)!
Our paper Evaluation of Federated Learning Variations for COVID-19 Diagnosis Using Chest Radiographs from 42 US and European Hospitals accepted to Journal of the American Medical Informatics Association (JAMIA)!
Here is a Cisco blog and my exit presentation for my internship at Cisco Research working on Federated Learning.
Our paper SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data accepted to ACM SIGKDD 2022!
I will be joining University of Pennsylvania to pursue a Ph.D. in Computer and Information Science!
Obtained my B.S. degree with high distinction from the University of Minnesota!
Accepted to CS Research Mentorship Program (CSRMP) at Google Research!
Our Federated Learning use case was highlighted in Nvidia Clara White Paper.
An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing for Information Extraction
Rethink Transfer Learning for Medical Image Classification
Evaluation of Federated Learning Variations for COVID-19 Diagnosis Using Chest Radiographs from 42 US and European Hospitals