Shakthi Visagan
Resident Physician at Alameda Health System
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolShakthi Visagan is a physician-engineer currently training in categorical Internal Medicine at Alameda Health System with nine years of experience spanning clinical medicine, biomedical research, and computational modeling. He holds an MD and a BS in Bioengineering and Mathematics from UCLA and St. George’s University and has applied quantitative methods—from finite element and spectral methods to diffusion MRI alignment—to neuroscience and medical imaging projects. Prior roles include building QA pipelines for MRI workflows, developing HMMs for single-cell lineage analysis, and automating behavioral neuroscience rigs, reflecting a strong blend of software, signal processing, and lab engineering. An active open-source contributor, he’s improved deep learning layers in the widely used DeepChem repository, bridging clinical insight with machine learning for biomedical applications. Colleagues often notice his knack for translating complex numerical techniques into practical tools that accelerate both research and patient care.
9 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at Academy of the CanyonsDoctor of Medicine - MD, Medicine, Doctor of Medicine - MD, Medicine at St. George's UniversityBachelor of Science - BS, Bioengineering, Mathematics, Bachelor of Science - BS, Bioengineering, Mathematics at University of California, Los AngelesAssociate of Science (A.S.) Mathematics, Physics, Associate of Science (A.S.) Mathematics, Physics at College of the Canyons
English, Tamil, australian, canadian, official aramaic (700-300 bce), egyptian (ancient), persian, old (ca.600-400 b.c.), Greek, Sanskrit
Stackoverflow
1reputation
196reached
0answers
1question
Github Skills (13)
deeplearning-ai10
deep-learning10
tensorflow10
python10
ml9
machine-learning-models9
mle9
science7
drug-discovery7
biology7
quantum-chemistry7
matlab6
matrix6
Programming languages (7)
Github contributions (5)
deepchem/deepchem
Jul 2020 - Jul 2020
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Role in this project:
ML Engineer
ML EngineerContributions:21 commits, 1 PR, 13 comments in 4 days
Contributions summary:Shakthi primarily contributed to the `deepchem/deepchem` repository by modifying and enhancing several layers related to deep learning models. Their work included refining the `_cosine_dist` function, as well as making various changes to multiple layers within the `models` module. These modifications focused on improving the functionality and potentially the performance of the deep learning models used within the project.
chemistrysciencedrug-discoverydeep-learningbiology
shak360/UCLA-BE188-Meyer-2018-Winter-Final-Project
Jan 2018 - Mar 2018
Contributions:23 commits, 20 pushes, 1 branch in 1 month
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