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In today’s episode, we explore the depths of AI research with Akshay Krishnamurthy, a senior principal research manager at Microsoft Research in New York City. Akshay’s journey in machine learning began at UC Berkeley, followed by a Computer Science Ph.D. from Carnegie Mellon University. Akshay went on to become an Assistant Professor at the University of Massachusetts Amherst, before deciding to move into a research role at Microsoft Research. His research focuses on reinforcement learning and interactive decision-making, areas where he’s made significant contributions. His work bridges the gap between theoretical foundations and practical applications in machine learning, with a particular emphasis on developing efficient algorithms for complex prediction problems. His innovative approach to machine learning continues to shape the field, making him a notable figure in AI research.
Dive in with us as we pick Akshay’s brain on the current state of AI research and where things go from here.
In today’s episode, we explore the depths of AI research with Akshay Krishnamurthy, a senior principal research manager at Microsoft Research in New York City. Akshay’s journey in machine learning began at UC Berkeley, followed by a Computer Science Ph.D. from Carnegie Mellon University. Akshay went on to become an Assistant Professor at the University of Massachusetts Amherst, before deciding to move into a research role at Microsoft Research. His research focuses on reinforcement learning and interactive decision-making, areas where he’s made significant contributions. His work bridges the gap between theoretical foundations and practical applications in machine learning, with a particular emphasis on developing efficient algorithms for complex prediction problems. His innovative approach to machine learning continues to shape the field, making him a notable figure in AI research.
Dive in with us as we pick Akshay’s brain on the current state of AI research and where things go from here.