- Graph Machine Learning for Science
- Advised by Prof. Jure Leskovec and Dr. Hanchen Wang
- Working on developing novel graph learning and multimodal techniques for scientific innovation
- Creating new benchmarks and frameworks for data-driven research across disciplines such as biology
- Keywords: AI for Science, Graph Machine Learning, LLMs
U
University of Illinois at Urbana Champaign
Urbana-Champaign, IL, US
November 2021 - May 2023
C
Clockwork Systems
Software Engineering Intern
Palo Alto, CA, US
May 2022 - August 2022
A
Argonne National Labs and UIUC
June 2021 - May 2022
F
Forward Data Lab
June 2021 - December 2021
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Skills
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Skills
Ability to MultitaskAlgebraAlgorithmsAmazon AlexaAmazon Web ServicesApache SparkArtificial IntelligenceAstrophysicsBenchmarking SkillsBiologyChatbotsClockworkCloud ComputingCodebaseCollisionsCompilersComputer NetworksComputer ProgrammingC++ (Programming Language)Customer Data ManagementData AnalysisDatabasesData ScienceData StructuresDeep LearningElectrical TransformersExecution of ExperimentsFiddler (Software)Forecasting SkillsGrafanaInformation TechnologyInformation TheoryInnovationJava (Programming Language)Knowledge of MathematicsKnowledge of StatisticsLarge Language ModelsLeadershipLinear AlgebraLinuxLiteratureMachine LearningMentoringMetadataMicroscopyMicrosoft AzureNumber TheoryNumerical AnalysisNumPyPandasPhysicsProbability TheoriesProfilingPublishing SkillsPython (Programming Language)PytorchRaw MaterialsReactJSResearch SkillsRisk AnalysisSciPySemanticsSimulationsSoftware EngineeringSQL DatabasesSuccess Driven PersonSupercomputingTeachingTeam WorkingTensorflowTopic ModelingVisualization