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JL
Jason Li
Computer Science
Carnegie Mellon University
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About Jason Li at Carnegie Mellon University (CMU)
Jason Li is a prominent academic figure at Carnegie Mellon University, where they contribute to the Computer Science through intensive research in graph algorithms, computational genomics, cancer diagnostics, negative-weight shortest paths, algorithmic complexity, graph theory, biomedical informatics.
A representative example of their recent contribution is the study titled "CODA: an open-source platform for federated analysis and machine learning on distributed healthcare data", which offers critical insights into the dynamics of graph algorithms and computational genomics. Additional work such as "OpenThoughts: Data Recipes for Reasoning Models" further demonstrates their commitment to advancing knowledge in this domain.
Research Areas
graph algorithmscomputational genomicscancer diagnosticsnegative-weight shortest pathsalgorithmic complexitygraph theorybiomedical informatics
Top Publications
- 1
- 2OpenThoughts: Data Recipes for Reasoning Models2025· 1 citations
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