researcher / founder / engineer
Ris(h)i Jaiswal
CTO at Transio AI | PhD, Purdue University
Building AI that learns like nature and reasons about the physical world. Energy-efficient, physically grounded, spatially aware.
Research Interests
Spatial Intelligence & Robotics
Understanding and reasoning about 3D space. Spatial perception for autonomous systems, embodied AI, and physical-world reasoning.
Bio-Inspired Learning
Energy-efficient neural architectures inspired by biological systems. Alternatives to backpropagation, probabilistic computing, and stochastic neural networks.
Physics-Inspired AI
Embedding physics into learning and inference. Probabilistic graphical models, Boltzmann machines, quantum-inspired optimization, and physics-informed learning.
Hardware & Systems
GPU kernels, FPGA prototyping, and hardware-algorithm co-design. Bridging algorithms and silicon for petaflops-scale probabilistic computing.
Journey
CTO
Transio AILeading technology vision and building AI-powered systems.
PhD, Electrical & Computer Engineering
Purdue UniversityEnergy-efficient deep learning, probabilistic computing, quantum-inspired optimization. Advisors: Supriyo Datta & Joseph G. Makin.
Research Intern
MicrosoftFormal verification and assertion-based validation of custom AI accelerator architectures.
Senior Design Engineer
NXP SemiconductorsVerification of DSP, RADAR-based ADAS subsystems, and neural network accelerators. US Patent holder.