Vinod Chauhan

Strathclyde Chancellor's Fellow In AI (Lecturer Assistant Professor)

Glasgow, Scotland, United Kingdom
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Summary

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Senior
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Top School
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.
code11 years of coding experience
job5 years of employment as a software developer
bookBachelor of Science - BS, Science, Bachelor of Science - BS, Science at TJCM Govt. Degree College, Sujanpur-Tihra
bookMaster of Computer Applications, Computer Science, Master of Computer Applications, Computer Science at Himachal Pradesh University
bookDoctor of Philosophy (Ph.D.), Machine Learning, Doctor of Philosophy (Ph.D.), Machine Learning at Panjab University, Educational Institution, Chandigarh
languagesEnglish, Hindi
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Github Skills (19)

handwriting-recognition10
deep-learning10
transfer-learning10
image-augmentation10
r9
python8
sql8
java8
spark8
combinatorial-optimization7
jdbc7
scala7
operations-research7
machine-learning-algorithms7
optimization7

Programming languages (5)

C++ScalaTeXJupyter NotebookRuby

Github contributions (5)

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jmdvinodjmd/LIBS2ML

Apr 2019 - Sep 2021

LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms
Contributions:1 release, 36 commits, 2 PRs in 2 years 5 months
machine-learning-algorithms
jmdvinodjmd/HCR-Net

May 2021 - Sep 2022

HCR-Lib: A Deep Learning Library for Script Independent Handwritten Character Recognition
Contributions:5 commits, 6 PRs, 11 pushes in 1 year 4 months
deep-learningcharacter-recognitionhandwriting-recognitionimage-augmentationoffline
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