Paramveer Dhillon
Associate Professor
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolParamveer Dhillon is an Associate Professor at the University of Michigan and a Digital Fellow at MIT with 15 years of experience researching and teaching deep learning, LLMs, causal inference, and personalization. He holds a PhD in Computer and Information Science and a master's in Statistics from the University of Pennsylvania, and began his career with an engineering foundation from Punjab Engineering College. Paramveer blends rigorous academic research with hands-on engineering—contributing to open-source projects like ANTs (Advanced Normalization Tools) where he improved SCCAN functionality and image-processing utilities. His work spans theory and practice, from causal methods to building systems for co-writing and personalized AI, and he is known for translating complex models into usable tools for research and education. Based in Ann Arbor, he combines interdisciplinary curiosity with a track record of pragmatic problem solving across academia and open-source software.
14 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at Punjab Engineering CollegeDoctor of Philosophy (Ph.D.), Computer and Information Science, Doctor of Philosophy (Ph.D.), Computer and Information Science at University of Pennsylvania
English
Github Skills (11)
c-language10
cprogramming-language10
image-registration10
medical-image-processing10
data-structure9
algorithm9
data-structures9
algorithms9
python7
scikit6
scikit-learn6
Programming languages (1)
Github contributions (5)
ANTsX/ANTs
Dec 2012 - Aug 2013
Advanced Normalization Tools (ANTs)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:21 commits in 8 months
Contributions summary:Paramveer contributed to the Advanced Normalization Tools (ANTs) project, focusing on modifications within the `Utilities` and `Examples` directories. Their work involved implementing changes related to the SCCAN (Sparse Canonical Correlation Analysis) functionality, with code adjustments across multiple files, including `antsSCCANObject.hxx`. These changes addressed bugs, normalization, and gradient scaling within the SCCAN framework, and adjustments were also made in the image processing examples. The user also updated the file structure of the project and made minor changes in input and output options in the core sccan file.
antsnormalizationimage-registrationimage-segmentationmedical-image-processing
paramveerdhillon/website
Jul 2019 - Feb 2025
Contributions:210 pushes, 11 branches in 5 years 8 months
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