Arjun Mani

Graduate Research Assistant

New York, New York, United States
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Summary

👤
Senior
🎓
Top School
Arjun Mani is a PhD student and graduate research assistant at Columbia University with a decade of experience building machine learning systems that reason about the physical world. Advised by Richard Zemel and Carl Vondrick, his work sits at the intersection of vision, physics-aware reasoning, and vision+language, building on prior research at Princeton on novel VQA tasks and probabilistic methods. He has industry experience applying ML to products at Google and startups, and early research contributions spanning medical imaging and antibody design that were recognized in national competitions and top journals. Based in New York, he combines strong theoretical grounding from Princeton and Columbia with practical pipeline and deployment skills, and maintains a public research portfolio at arjun-mani.github.io.
code10 years of coding experience
job4 years of employment as a software developer
bookHigh School, High School at The Harker School
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Columbia University
bookBSE Computer Science, BSE Computer Science at Princeton University
languagesEnglish, Tamil
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Github Skills (62)

dialog9
matconvnet9
fluid-simulation9
genomics9
visual-question-answering9
matlab8
phylogenetics8
smoothed-particle-hydrodynamics8
sequence-alignment8
face8
bioinformatics8
simulation8
pose8
fluid-dynamics7
cvs7

Programming languages (5)

CSSC++Jupyter NotebookPythonCuda

Github contributions (5)

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princetonvisualai/pointingqa

Nov 2020 - Jun 2021

Code for paper "Point and Ask: Incorporating Pointing into Visual Question Answering"
Contributions:48 commits, 17 pushes in 7 months
questionpointvisual-question-answeringquestion-answeringanswering
Contributions:12 pushes, 1 branch in 1 day
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Arjun Mani - Graduate Research Assistant