Strathclyde Chancellor's Fellow In AI (Lecturer Assistant Professor)
Glasgow, Scotland, United Kingdom
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Summary
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Vinod Chauhan is a Lecturer/Assistant Professor and Strathclyde Chancellor’s Fellow in AI with 11 years’ experience applying causal inference and machine learning to healthcare and industrial problems. He develops data-driven Causal AI methods aimed at personalised treatments, with published work on hypernetworks for dynamic information sharing, confounder balancing for individualised treatment effect estimation, and neural ODE Perceiver models for handling clinical missingness. His background spans academic research at Cambridge and Oxford, industrial collaborations with aerospace and airlines, and open collaboration with clinicians to translate models into postoperative-risk prediction and other real-world healthcare tools. Vinod combines strong theoretical foundations from a PhD in Machine Learning with hands-on optimisation and deployment experience across supply-chain and airline networks. He actively seeks collaborators and graduate students interested in causal AI for personalised healthcare, and is notable for bridging scalable industrial ML techniques with rigorous causal methods for small, noisy clinical datasets.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Science, Bachelor of Science - BS, Science at TJCM Govt. Degree College, Sujanpur-Tihra
Master of Computer Applications, Computer Science, Master of Computer Applications, Computer Science at Himachal Pradesh University
Doctor of Philosophy (Ph.D.), Machine Learning, Doctor of Philosophy (Ph.D.), Machine Learning at Panjab University, Educational Institution, Chandigarh
Contributions:26 pushes, 2 branches in 3 years 10 months
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Vinod Chauhan - Strathclyde Chancellor's Fellow In AI (Lecturer Assistant Professor)