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Dante Basile is listed as Computer Science PhD Student at Purdue University at Sandia National Laboratories, a company with 8667 employees, based in West Lafayette, Indiana, United States. AeroLeads shows a matched LinkedIn profile for Dante Basile.
Dante Basile previously worked as Center for Integrated Nanotechnologies (CINT) Research Fellow at Sandia National Laboratories and Computer Science Doctoral Program Lynn Fellow at Purdue University. Dante Basile holds Doctor Of Philosophy - Phd, Computer Science, 3.78 from Purdue University.
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As a research scientist and engineer, I seek to leverage machine learning, data science, computational modeling, and computer graphics to drive advancement in cutting edge engineering domains, such as LLM apps and semiconductors, by intuitively representing complex systems. I am a Lynn Fellow in the Computer Science Doctoral Program at Purdue University. My computational modeling research focusses on two major directions. First, I conduct research on the automated detection and analysis of semiconductor manufacturing defects using Machine Learning, Bayesian Experimental Design, and Quantum Sensing. Additionally, I develop high-dimensional computational models that leverage groundbreaking physics and graphics techniques for effective and intuitive space mission design. In May 2022, I received a double major in biomedical engineering and computer science along with a MSE in biomedical data science from Johns Hopkins University. At Johns Hopkins, I conducted research at the JHU Computational Cardiology Lab for the development of patient-specific MRI-derived computational heart models to assist clinical treatment of atrial fibrillation.
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Sandia, Albuquerque, New Mexico, United States
Three-year research partnership between Purdue University (Advisor: Dr. Xavier Tricoche) and the Center for Integrated Nanotechnologies (CINT) at Sandia National Laboratories as part of my ongoing PhD thesis research. Conducting research on the automated detection and analysis of semiconductor manufacturing defects using Machine Learning, Bayesian.
West Lafayette, Indiana, United States
Advisor: Dr. Xavier Tricoche. Computer Science PhD research funded by the Purdue University Lynn Fellowship. Conducted research on the visualization of the topology of spacecraft orbital trajectories in high-dimensional space. Investigated novel high-dimensional triangulation techniques. Successfully developed practical implementations using Python and.
Albuquerque, New Mexico, United States
Developed Generative AI and Large Language Model applications as part of the MissionTech national security intern program for an AI, XR, and robotics R&D lab. Leveraged state of the art open source models: Zephyr and Mixtral, LangChain pipelines, Chainlit UI, RAG pipelines, vector databases: ChromaDB, and tool and function calling. Developed applications.
Baltimore, Maryland, United States
PI: Dr. Natalia Trayanova. Automation of image processing of clinical MRI for use in organ scale computational modelling. Responsibilities include programming in MATLAB, Python, and Bash, analyzing clinical MRI, and training other undergraduates. Research for Credit 2019 Spring Semester.
Malibu, California, United States
Used iGibson robotics simulation environment to generate test data from simulated robot-object interaction. Trained PyTorch deepnet to understand the relationship between visual data and the robot's interactions with objects.
Baltimore, Maryland, United States
Worked for Summer 2019 on independent projects including automated image processing of cardiac MRI and automation of batch processing via Bash scripting and SSH.
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Aiden Mcilraith
Colleague at Sandia National LaboratoriesPortland, Oregon Metropolitan Area, United States
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Ivan Price
Colleague at Sandia National LaboratoriesRio Rancho, New Mexico, United States, United States
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William Gaillard
Colleague at Sandia National LaboratoriesWalnut Creek, California, United States, United States
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Michelle Julian
Colleague at Sandia National LaboratoriesUnited States, United States
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Matthew Spotnitz
Colleague at Sandia National LaboratoriesAlbuquerque, New Mexico, United States, United States
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Enrique Velazquez
Colleague at Sandia National LaboratoriesAlbuquerque, New Mexico, United States, United States
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Dustin Locke
Colleague at Sandia National LaboratoriesAlbuquerque, New Mexico, United States, United States
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Eralda R Romero
Colleague at Sandia National LaboratoriesAlbuquerque, New Mexico, United States, United States
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Kellee Salaz
Colleague at Sandia National LaboratoriesUnited States, United States
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Darrel Mummert
Colleague at Sandia National LaboratoriesAlbuquerque, New Mexico, United States, United States
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Quick answers generated from the profile data available on this page.
Dante Basile works for Sandia National Laboratories.
Dante Basile is listed as Computer Science PhD Student at Purdue University at Sandia National Laboratories.
Dante Basile is based in West Lafayette, Indiana, United States while working with Sandia National Laboratories.
Dante Basile has worked for Sandia National Laboratories, Purdue University, Jhu Computational Cardiology Lab, Hrl Laboratories, Llc, and Jhu Advance (Alliance For Cardiovascular Diagnostic And Treatment Innovation).
Dante Basile's colleagues at Sandia National Laboratories include Aiden Mcilraith, Ivan Price, William Gaillard, Michelle Julian, and Matthew Spotnitz.
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Dante Basile holds Doctor Of Philosophy - Phd, Computer Science, 3.78 from Purdue University.
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