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Mahshid Yassaei is a distinguished Senior Lecturer in Artificial Intelligence and Data Science at Queen Mary University of London. Her research is at the forefront of Explainable AI (XAI), aiming to make complex AI decision-making processes transparent and understandable. Dr. Yassaei also has significant expertise in Natural Language Processing (NLP), applying it to various domains, including healthcare informatics and human-AI interaction. She is committed to advancing AI for societal good, particularly in improving healthcare outcomes and fostering trust in AI systems. Her work involves developing novel machine learning models, exploring ethical considerations in AI, and mentoring the next generation of AI researchers and practitioners.
Mahshid Yassaei's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Contributed significantly to the field of XAI through publications and projects focused on developing interpretable machine learning models, particularly for critical applications like healthcare and finance.
Led and participated in research initiatives leveraging Natural Language Processing to extract insights from medical texts, patient records, and other health-related data to improve diagnostics and patient care.
Successfully obtained research grants to fund innovative projects in AI, XAI, and NLP, demonstrating leadership and a strong research vision.
Actively involved in supervising PhD students and postdoctoral researchers, guiding them in their research endeavors and contributing to the growth of AI expertise.
Researched and published on how humans interact with AI systems, focusing on improving usability, trust, and collaboration between humans and intelligent machines.
McGill University - Year 2009
Sharif University of Technology - Year 2005
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Tali AI is a software company that develops a voice-driven time tracking and productivity assistant primarily for legal professionals and other service-based industries. Their AI-powered solution allows users to capture billable hours and manage tasks using simple voice commands, integrating with popular case management, billing, and productivity software. The goal is to reduce administrative overhead, improve accuracy in timekeeping, and allow professionals to focus more on client work.
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