Working as a Ph.D. student under Dr. Cong (Callie) Hao pursuing hardware acceleration and applied machine learning. See here for more details: https://sharclab.ece.gatech.edu/

Working as a master's thesis student under Dr. Cong (Callie) Hao pursuing hardware acceleration and applied machine learning. See here for more details: https://sharclab.ece.gatech.edu/

Under this position, I work on the development of novel cutting-edge software tools and/or hardware design to support research in microelectronic and embedded systems hardware security. Work is varied and may include:• Investigating the forefront of various technologies (software development, programming languages, hardware security controls, FPGAs, etc.) as they apply to the security and trust of microelectronic devices and the systems in which they are used• Researching and implementing applications of hardware-assisted technologies for a variety of cybersecurity-related efforts• Designing and implementing meaningful visualizations of experimental test results and intermediary analysis data structures• Additional novel research objectives as new projects are developed and new research is published

Under this position, I worked on the development of novel cutting-edge software tools and/or hardware design to support research in microelectronic and embedded systems hardware security. Work is varied and may include:• Investigating the forefront of various technologies (software development, programming languages, hardware security controls, FPGAs, etc.) as they apply to the security and trust of microelectronic devices and the systems in which they are used• Researching and implementing applications of hardware-assisted technologies for a variety of cybersecurity-related efforts• Designing and implementing meaningful visualizations of experimental test results and intermediary analysis data structures• Additional novel research objectives as new projects are developed and new research is publishedThis work was done part-time during the period of time while getting my Master's degree perusing school full-time.

Under this position, I worked on the development of novel cutting-edge software tools and/or hardware design to support research in microelectronic and embedded systems hardware security. Work is varied and may include:• Investigating the forefront of various technologies (software development, programming languages, hardware security controls, FPGAs, etc.) as they apply to the security and trust of microelectronic devices and the systems in which they are used• Researching and implementing applications of hardware-assisted technologies for a variety of cybersecurity-related efforts• Designing and implementing meaningful visualizations of experimental test results and intermediary analysis data structures• Additional novel research objectives as new projects are developed and new research is publishedThis work was done as a part-time undergraduate internship continuing between semesters while persuing school full-time.

• Created and instructed “Scientific Computing, Data Science, and Machine Learning,” a course aimed toassist and develop modern computational research skills for students of the summer science researchprogram at American Heritage School in Plantation for those working on competitive research projects indifferent fields such as biology, chemistry, medicine, engineering, and earth sciences.• Taught fundamentals of programming, scientific computing, data science, and applied machine learning as well as applied skills, techniques, and tools such as Python, NumPy, SciPy, Pandas, Scikit-Learn, Scikit-Image, TensorFlow, and Keras• Complied original coursework including live and recorded video lectures, open-ended software and data analysis homework assignments, relevant supplementary material for student projects, and individualized office hours/project feedback for students.

• Created and instructed “Scientific Computing, Data Science, and Machine Learning,” a course aimed toassist and develop modern computational research skills for students of the summer science researchprogram at American Heritage School in Plantation for those working on competitive research projects indifferent fields such as biology, chemistry, medicine, engineering, and earth sciences.• Taught fundamentals of programming, scientific computing, data science, and applied machine learning as well as applied skills, techniques, and tools such as Python, NumPy, SciPy, Pandas, Scikit-Learn, Scikit-Image, TensorFlow, and Keras• Complied original coursework including live and recorded video lectures, open-ended software and data analysis homework assignments, relevant supplementary material for student projects, and individualized office hours/project feedback for students.

Worked as a remote intern in the summer in the science data processing branch (587) on a project for science autonomously using ML with the Mars Organic Molecule Analyzer (MOMA) Mass Spectrometer.• Enabled the usage of the mars organic molecule analyzer (MOMA) mass spectroscopy instrument at the ocean world of Europa and Enceladus with the goal of finding life outside of Earth through scienceautonomy• Applied supervised and unsupervised machine learning techniques to analyze and characterize mass spectra to align with science mission goals to flag interesting organic and non-organic samples for scientists

• Created and instructed “Scientific Computing, Data Science, and Machine Learning,” a course aimed toassist and develop modern computational research skills for students of the summer science researchprogram at American Heritage School in Plantation for those working on competitive research projects indifferent fields such as biology, chemistry, medicine, engineering, and earth sciences.• Taught fundamentals of programming, scientific computing, data science, and applied machine learning as well as applied skills, techniques, and tools such as Python, NumPy, SciPy, Pandas, Scikit-Learn, Scikit-Image, TensorFlow, and Keras• Complied original coursework including live and recorded video lectures, open-ended software and data analysis homework assignments, relevant supplementary material for student projects, and individualized office hours/project feedback for students.