Kushagra Pandey is a PhD computer scientist and graduate student researcher at UC Irvine with nine years of experience building and researching generative AI systems that emphasize robustness, controllability, and real-world grounding. He combines academic rigor—from a PhD at UCI and an MTech from IIT Kanpur—with industry research internships at NVIDIA and hands-on ML engineering at Lexent Bio, applying Bayesian deep learning and deep generative models to practical problems. His background in electrical engineering and early work on vibrotactile interfaces for assistive tech reveal a knack for bridging hardware, human-centered design, and probabilistic modeling. Comfortable moving between prototype systems and publication-grade research, he brings a pragmatic focus on controllable generation and domain grounding that accelerates real-world AI deployment.
9 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology Kanpur
B.Tech, Electrical, Electronics and Communications Engineering, B.Tech, Electrical, Electronics and Communications Engineering at IIT Bhubaneswar
Metric learning-based graph-partitioned trajectory inference from single-cell data
Contributions:295 commits, 2 PRs, 7 pushes in 1 year 1 month
graphinferencemetric-learning
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