About

Ayush Kanodia is a PhD student at Stanford University with a strong background in computer science and a focus on mixing machine learning, economics, and causal inference. He is currently working as a Graduate Student Researcher at Stanford University, where he is exploring the intersection of these fields and their potential applications. Ayush has a diverse range of experience in both academia and industry. Prior to his current role, he worked as a Researcher at the Indian Institute of Management, where he focused on AI/NLP for macroeconomics and corporate finance. He has also worked as a Software Engineer at Google, where he was part of the Text To Speech team in London. Ayush's educational background is equally impressive, having earned a Bachelor of Technology in Computer Science from the Indian Institute of Technology, Bombay before pursuing his PhD at Stanford University. He also holds an ISC (Standard 12) degree in Science from Don Bosco Park Circus, Kolkata. Ayush's technical skills include research scientist, machine learning, artificial intelligence, natural language processing, and software engineering. With over 2 years of relevant experience, he is well-equipped to take on challenging projects in these areas. Overall, Ayush Kanodia is a highly motivated and talented individual with a passion for exploring the intersection of technology and economics. His academic and professional achievements demonstrate his ability to excel in a variety of settings, and his technical expertise makes him a valuable asset to any team.