[site still in progress and draft, the below information will be organized into a table listing each corse the year it was taught and the students and learning objectives the HTML is taking a bit of time to work out]

During my time in undergrad I TAed three courses in Intro to Programming I and II and also A Microsoft Office, a requirement for every student. Student class sizes had been around 30 students. I tutored physics and calculus during my undergrad. After completing my undergrad I served as a Tutor for high school students in both physics and geometry.

Once I started my PhD program I TAed for several courses where the class sizes were around 50 students for the first courses and around 10 for the second semester of the physics courses. Physics labs I and II, the course Students learn how to measure and apply physics principles in the laboratory. I served as a TA for astronomy labs where students learn the basics and foundations measure theory, and how to conduct experiments based on pure observational methods. I taught several physics recitations for physics I and II where students learn to solve physics problem sets.

I have been working on generating a series of public outreach short educational videos for the general public. I have also been working on generating a few public outreach demonstration videos for how to potentially utilize AI in the class room and research lab, for both educators and students. I have also been working on collecting a set of references and notes to develop two courses for utilizing machine learning in STEM courses aimed at undergrads, and a separate one at grad students, and developing a series of references, and notes to serve as an online reference for students taking the course.

Teaching

University of Alabama at Birmingham

Physics Astronomy Lab 111  30-50 students  2015, 2016

Laboratory experience surveying the astronomical enterprise and the

scientific study of the universe, including methods by which observations

and measurements are interpreted to determine physical laws, cosmic

history, and evolution. 

Physics Astronomy Lab 112  30-50 students  2015, 2016

Laboratory experience in conceptual and collaborative approach to

understanding the scientific processes by which astronomers make

inferences about stars’ and galaxies’ formation and evolution from

ground- and space-based observations.

Physics Astronomy Lab 113  30-50 students  2015

Laboratory experience demonstrates how astronomy is practiced through

observation experiences, laboratory experiments, and exercises involving

analysis of data. 


In progress: The below table will be formatted using proper HTML to reflect the sample above

I aspire to teach, mentor and guide the next generation of students in the application of explainable machine learning in the interdisciplinary nature of tomorrow’s STEM fields. Specifically, my goal is to facilitate the integration of computer/data science with physics, biology, and chemistry, fostering a more interconnected and innovative approach to these disciplines. I aim to equip students with the tools and skills to illuminate the black box of machine learning. I hope to drive my students curiosity by allowing them to explore, compare and contrast various machine learning approaches to data generated by computational methods they may have seen from a junior year course. I also hope to illustrate to students how methods from the physical sciences form the foundational theories behind many classic machine learning papers, and I hope to make these connections clear and accessible to my students such that they are more prepared and equipped with a board set of tools to help them make advancements, work, and discoveries in tomorrows workforce and research labs.

Teaching

Univerisy of Alabama at Birmingham
2014-2023
Physics Teaching Fellowship in Physics
2015
Astronomy Lab 101
Undergrad Teaching Assistant, Java I, II, CS 101 
  ,112,118, Undergrad labs consisted of: 
Hertzsprung Russell Diagrams, orbital occlusion and period measurements,
stellar classification,determination of isotropic asteroid belt distributions,
spectral classification of gasses, measurement of Hubble Constant via red shift of type II supernova
In person Physics I, II Labs, Physics I, II Recitation
  Determination of spring constants, energy and frictional forces utilizing Pasco 
  system equipment. determination of resistance,voltage,current,electric and
  magnetic fields, diffraction and diffusion grating spacing
  Online Physics I Lab,Physics I, II Recitation
  Held live lab sections for Q and A for at home IO Device labs. Ran online
  recitation for Physics I and II, AL
Pittsfield Public School System
2013 - 2013
Tutored Math and Physics Tutored high school physics and geometry
Massachusetts College of Liberal Arts
2013 - 2013
Tutor lab college level Math and Physics Tutored physics, trig and calculus
2009 - 2013
Undergrad Teaching Assistant, Java I, II, CS 101 Answered questions and assisted professor in running Java I and II course. Assisted professor with guiding students to navigate office productivity software in CS101.
Camden County College
2008 - 2009
Comp Lab Assistant Computer lab assistant, to answer technical questions from students, and non specific course questions
Physics Visualization for Education
  • Wave mechanics using shader techniques in unity, and unreal engine
  • polarizability of charged spheres, thermodynamic visualizations for instructive purposes
  • Researched how error related to sample size on two physical phenomena, radioactive decay and an infinite square well.
  • Use shader based graphical programming to emulate machine learning systems for distributed web platforms for better visualization and understanding of Ising Models, reaction diffusion, decay, and other physical models models
  • Simple modeling of photonic imagining systems to demonstrate various optical resolution criterion, and airy discs for visual understanding.
  • Simple modeling using noise to create ground truth datasets of fracture surface for visualization and clarification of machine learning resolution and resolvability studies.
  • Developed shader based and numpy based statistical photonic modeling to illustrate the temporal dependence of images and sensor detection.