Gauri Shinde graduated in May 2025 from Northeastern University with a Master’s in Analytics, concentrating in AI and Machine Learning. She currently works at the Cognitive-Motor Behavior Lab at MGH IHP on a study examining mobility and cognitive-communication factors influencing fall risk and community reintegration after rehabilitation. At Northeastern’s ASCENT Lab, she developed analytic workflows in R and Python, contributing to ALS and Parkinson’s research. Her work earned the Best Research Paper Award at EAIT 2024 for DNA sequencing–based cancer detection. Passionate about data for social good, she has also consulted for nonprofits and enjoys Kathak dance and painting.
Masters in Analytics, Northeastern University, Boston, MA, USA
- Data analytics in healthcare and rehabilitation research
- Speech and language analytics for neurodegenerative and communication disorders
- Application of machine learning and statistical modeling in health outcomes research
- Environmental and social impact analytics
This work introduces a novel approach to cancer detection using DNA sequencing data combined with representation learning techniques. The project explores how advanced machine learning can extract meaningful patterns from high-dimensional genomic data to improve the accuracy and sustainability of early cancer detection methods. By leveraging representation learning, the research addresses challenges in scalability, computational efficiency, and interpretability, offering a framework that aligns with sustainable healthcare transformation in the era of big data.