cv | Saurav Sengupta

Full Name	Saurav Sengupta
Summary	PhD Candidate in the School of Data Science, University of Virginia. Working on healthcare data science with focus on computer vision and explainability.
Languages	English, Hindi, Bengali

2020-2023 (exp.)

PhD in Data Science

University of Virginia, Charlottesville, VA
2018-2019

M.S. in Data Science

University of Virginia, Charlottesville, VA
2012-2016

B.E. (Hons.), Electrical and Electronics Engineering

Birla Institute of Technology and Science, Goa, India

2020 - present
Graduate Research Assistant

University of Virginia, Charlottesville, VA
- PhD Mentors - Dr. Donald Brown, Dr. Sana Syed
- Working with National COVID Cohort Collaborative (N3C) on analyzing temporal hospital records using deep learning to predict risk factors contributing to a Long Covid diagnosis.
- Working on N3C queries regarding Long COVID as part of Researching COVID to Enhance Recovery (RECOVER).
- Developed deep learning model to classify Environmental Enteropathy (EE) in pediatric biopsies.
2019-2020
Research Data Scientist

Data Science Institute (DSI), University of Virginia
- Part of the Gastroenterology Data Science Lab working on developing deep learning methods for medical imaging applications.
- Classifying gastro-intestinal diseases (Crohn’s, Celiac) using CNN models on high resolution biopsy images using PyTorch.
- Lab received the Litwin IBD Pioneers Program, Crohn’s & Colitis Foundation grant based on work.
2018-2019

Graduate Student, Masters of Science in Data Science (MSDS)

Data Science Institute (DSI), University of Virginia
2016-2017

Associate Consultant

Capgemini, Hyderabad

Interpretable machine learning for healthcare
- Attention based interpretation of LSTMs
- GradCAM based explanations of Neural Networks
- SHAP explanations
Combining Images and Text in histopathology
- Using Pre-trained Vision Transformers for encoding high resolution images.
- Determining an evaluation metric for healthcare report generation problems.