Summary
Gyan Tatiya is a Data Scientist with a PhD in Computer Science from Tufts and nine years of experience applying multimodal machine learning to robotics and embodied perception. His dissertation developed practical frameworks for transferring multi-sensory object representations across heterogeneous robots, enabling new platforms to leverage prior data rather than relearn from scratch. At Tufts and during multiple Bosch Research internships he built datasets, integrated robot hardware (UR5 + sensors), and led MOSAIC and K-SAVEN efforts that advanced state-of-the-art object categorization and semantic audio-visual navigation. Now at Microsoft in Redmond, he combines academic rigor—10 peer-reviewed publications and $0.5M in NSF funding—with hands-on engineering to move research into reproducible systems. Outside work he channels a visual and technical eye into photography, biking, and cooking, reflecting a practical curiosity that also guided his use of generative models and LLMs to augment robot perception.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Tufts University
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Chhattisgarh Swami Vivekanand Technical University, Bhilai
English, Hindi