Caleb Ellington
Research Scientist and Team Lead @ GenBio AI
United States
San Francisco
Higher Education
Java, Python, Ruby on Rails, C++, HTML, CSS, PostgreSQL, MySQL, PCR, Gibson Assembly, Bioinformatics, Behavioral Neuroscience, WordPress, Software Development, Algorithms, Git, SQL, Keras, Django, React.js
Experience
Research Scientist and Team Lead
GenBio AI
Palo Alto, California, United States
Doctoral Student
CMU-PITT Computational Biology Ph.D. Program
Pittsburgh, PA
Advised by Eric P. Xing. Developing ML systems for target ID and therapeutics development for rare and heterogeneous diseases. Foundation models, probabilistic graphical models, biological systems, multi-task learning.
Machine Learning Scientist Intern
Genesis Molecular AI
Burlingame, CA
Research Assistant
Institute for Protein Design, University of Washington
Greater Seattle Area
Advised by David Baker and Nao Hiranuma. Deep learning methods for computational protein folding and structure refinement.
Software Engineer Intern
Indeed
Austin, Texas Area
Research Assistant
Klavins Lab
Seattle, WA
Advised by Eric Klavins. Cloud lab infrastructure, workflows, and informatics toward high-throughput organism engineering.
Software Engineer Intern
Amazon
Seattle, WA
Software Engineer Intern
Muse Biotechnology Inc
Boulder, CO
Education
Carnegie Mellon University School of Computer Science
Computational Biology
University of Washington
Computer Science
University of Washington
Bioengineering and Biomedical Engineering
Caleb Ellington's Contact Information
Phone
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