Michael Wang

Michael Wang is a skilled technical professional with extensive experience in various roles within the tech industry. Currently serving as a Member of Technical Staff at Cerebras Systems, Michael is involved in building an end-to-end reasoning agent for scientific applications, leading projects that encompass pre-training, synthetic data generation, fine-tuning, and model behavior diagnosis. Previously, as an Applied Scientist at Salesforce, Michael contributed to multiple AI-focused products, engaging in research ideation, customer interactions, and patent publications. Other significant experiences include roles at Carnegie Mellon University as a Graduate Teaching and Research Assistant, internships at Salesforce, University of Waterloo, Focal Systems, RBC, alertdriving®, and ROCaircraft.com, covering areas such as machine learning, computer vision, NLP, and software engineering. Michael holds a Master of Computational Data Science from Carnegie Mellon University and a Bachelor of Applied Science in Electrical and Computer Engineering from the University of Waterloo.