- Collect sensor data with ROOT, C++, and Python to support LHC quantum chromodynamics research at CERN
- Implement Deep Neural Network algorithms to optimize the quality of heavy-ion collision simulations
- Utilize Keras and Tensorflow in DNN training, validation, and model application to efficiently process info
- Analyze experimental data of resonance peaks and collision stats to gain insights into trigger events
M
MIT Department of Physics
Undergraduate Teaching Aide
Cambridge, MA, US
September 2022 - present
C
Camp Kesem at MIT
Volunteer Coordinator
Cambridge, MA, US
November 2021 - present
M
MIT Department of Architecture
Guest Teacher
Kaufbeuren, DE
January 2024 - December 2024
S
SUPER
Research Intern
Stuttgart, DE
June 2023 - August 2023
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AlgorithmsAltium DesignerApache SparkArchitectureArduinoArtificial Neural NetworksAssembly and InstallationBiotechnologyChild CareComputer-Aided DesignCost Benefit AnalysisC++ (Programming Language)CyclingDemonstration SkillsElectronicsExperimental DataFailure AnalysisInformation TechnologyKerasKnowledge of Electrical EngineeringKnowledge of MathematicsKnowledge of Professional DevelopmentLeadershipLTspiceMachineryMATLABMeasurement and MetrologyMentoringMicrosoft OfficeOncologyOscilloscopePhysicsPower Distribution UnitProject SponsorshipsPython (Programming Language)QuantumResearch SkillsResonanceRobotics Design and ProductionSchedulingSemiconductorsSensorsSignal ProcessingSimulationsStyles of LearningTeachingTeam WorkingTensorflow