Siddharth Biswal

Hi, I'm Siddharth 👋.

My research interests are in machine learning, generative models and healthcare.

I am currently at Amazon. Prior to this I was a computer science PhD student at Georgia Tech.

Email: [email protected]

Experience

• 2022 Oct - Applied Scientist @ Amazon
• 2020 Jul - Machine Learning Scientist @ IQVIA
• 2018 May - Research Scientist Internship @ IBM Research
• 2016 Aug - Graduate Research Assistant @ Georgia Institute of Technology
• 2014 Feb - Software Engineer @ Massachusetts General Hospital

Publications

• MLHC 2022 - EMIXER: End-to-end Multimodal X-ray Generation via Self- supervision
• MLHC 2021 - EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders
• WWW 2020 - CLARA: Clinical Report Auto-completion
• AAAI 2020 - Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Re- cruitment
• AAAI 2020 - CONAN: Complementary Pattern Augmentation for Rare Disease Detection
• MLHC 2019 - EEG2Text: Learning to Write Medical Reports from EEG Recording
• JAMIA 2018 - Expert-level sleep scoring with deep neural networks
• KDD 2018 - RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data
• MLHC 2017 - Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
• JCM 2017 - Epileptiform abnormalities predict delayed cerebral ischemia in subarachnoid hemorrhage

Education

• PhD -Georgia Institute of Technology
• MS -Georgia Institute of Technology
• BS -National Institute of Technology

Twitter | Github | LinkedIn | Google Scholar