Anjali N.

Currently developing and optimizing machine learning models for Twintual’s digital twin communication assistant platform. Contributing to the design and implementation of AI systems that enhance conversational interactions and user engagement through advanced NLP and deep learning techniques.

Working under Professor Chieh Wu on an ML research project focused on early-stage Lyme disease detection using deep learning, contributing to the development of CNN-based models for cell image classification and diagnostic accuracy improvement.

Contributing to research on game based learning and intelligent hint systems under Professor Seth Cooper. Building a Python based data collection framework for a strategic board game environment to capture player decision patterns and move sequences. Supporting the development and evaluation of AI models that analyze gameplay behavior to generate adaptive, context aware hints with a focus on improving learner outcomes through data-driven feedback systems.