MSc student

Snigdha is an MS Computer Science student specializing in Machine Learning. She completed her Bachelor of Engineering (B.E) in Electronics & Communication Engineering from Netaji Subhas University of Technology, India. She has previously worked on using deep learning models and image processing to create a real-time emotion-based music playlist generator for the autistic community. She is working in the field of chronic care and mental wellness. Her current research focus is on predicting Subjective Units of Distress (SUD) using heterogeneous sensor data from Prolonged Exposure Therapy given to PTSD patients.

research areas: Machine Learning, HCI, Artificial Intelligence, Wearables