Kowshik Thopalli
Machine Learning Research Scientist at Lawrence Livermore National Laboratory
Dublin, California, United States
Summary
👤
Senior🎓
Top SchoolKowshik Thopalli is a machine learning research scientist with eight years of experience specializing in robust computer vision and domain-robustness methods. He has a strong academic foundation (PhD, MS) from Arizona State University and a track record of publishing and deploying work across unsupervised domain adaptation, domain generalization, object detection, generative models, test-time adaptation, and 3D reconstruction from sparse views. Currently at Lawrence Livermore National Laboratory, he focuses on improving model reliability under distribution and task shifts and integrating knowledge into data-driven learning. His background spans impactful internships at Microsoft and SRI—where his DRL-based visual navigation work won internal innovation awards—and cross-institutional collaborations that produced home-based stroke rehabilitation systems. Notably, he blends theory and applied systems work, from optimal transport and Grassmann analysis to practical solutions in multimodal fusion and zero-shot multi-domain generalization. Based in Dublin, California, he brings a research-first mindset that consistently aims to make vision models more trustworthy in real-world, shifting environments.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical Engineering,, Doctor of Philosophy - PhD, Electrical Engineering, at Arizona State UniversityBachelor of Technology (B.Tech.), Electrical and Electronics Engineering, First Class With Distinction with a 9.1 GPA, Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering, First Class With Distinction with a 9.1 GPA at Gitam UniversityAscent Classes
Stackoverflow
11reputation
2kreached
1answer
0questions
Github Skills (71)
style-transfer10
few-shot-learning10
adaptation10
representation-learning10
theory10
self-supervised-learning10
transfer-learning10
unsupervised-learning10
meta-learning10
multi-task-learning10
survey10
generalization10
robotics9
paper9
deep-reinforcement-learning9
Programming languages (3)
Github contributions (5)
kowshikthopalli/EEE598_SML_project
May 2019 - May 2019
Contributions:28 commits, 27 pushes, 1 branch in 1 day
kowshikthopalli/MULDENS
Apr 2021 - Oct 2022
DomainBed is a suite to test domain generalization algorithms
Contributions:53 commits, 42 pushes, 1 branch in 1 year 7 months
generalizationtestingdomain-generalizationdomainsuite
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