Bio:

Mikail Khan is a deep learning practitioner and software engineer with 6 years of experience in natural language processing. After graduating from Rice University in 2015, Mikail studied deep learning, eventually going on to conduct early experiments into GPT-2 based classifiers in collaboration with Accenture’s Dock Innovation Hub. In 2019, he became a recipient of the Machine Intelligence Research Institute’s AI Safety Retraining Grant and began researching the development of safely-scalable deep reinforcement learning algorithms. Following this grant, he received funding to continue AI safety research from the Open Philanthropy Project’s Global Catastrophic Risks department, focusing in particular on the interpretability of large language models. He later transitioned into private consulting, where he has worked to assist clients with both AI projects and data engineering/infrastructure projects.