Mohammad Mehdi Fazel Zarandi

At the forefront of innovation in data-driven decision-making and machine learning, Mohammad Mehdi Fazel Zarandi serves as a Senior Lecturer at the MIT Sloan School of Management. His research is deeply entrenched in the application of machine learning techniques to enhance public policy frameworks, aiming to bridge the gap between complex data analytics and practical policy implementation. Fazel Zarandi's work is pivotal in shaping how data can be leveraged to make informed decisions that impact society at large. With a robust teaching portfolio, Fazel Zarandi has imparted knowledge in analytics to both MBA and undergraduate students, earning multiple accolades for his excellence in education at MIT and Sloan. His pedagogical approach is characterized by a commitment to fostering analytical thinking and problem-solving skills among his students, preparing them for the challenges of the modern data-centric world. Before his tenure at MIT, Fazel Zarandi enriched his academic and research experience at the Yale School of Management, where he served as a Postdoctoral Associate and Lecturer. His time at Yale was marked by significant contributions to the academic community, further honing his expertise in operations management and analytics. Fazel Zarandi's academic journey began at the Rotman School of Management at the University of Toronto, where he earned his PhD in Operations Management. His doctoral research laid the groundwork for his future endeavors in machine learning and data-driven decision-making. Additionally, he holds a Master of Science in Industrial Engineering from the same prestigious institution, underscoring his strong foundation in engineering principles and quantitative analysis. Through his research and teaching, Fazel Zarandi continues to influence the fields of machine learning and public policy, striving to create a synergy between theoretical advancements and practical applications. His work not only contributes to academic discourse but also has tangible impacts on policy-making processes, demonstrating the transformative power of data in societal development.