Personal website of Adam Landry

Education

• Ph.D., Physics | University of Toronto (May 2023)
• M.S., Physics | University of Toronto (December 2019)
• B.S., Physics | University of Toronto (May 2017)

Work Experience

Assistant Professor of Physics

South Puget Sound Community College, Olympia, WA, USA (August 2023 - Present)

• Teach introductory courses in classical mechanics and electromagnetism.
• Develop and implement engaging instructional materials to facilitate student learning.
• Mentor and advise students on academic and career goals.

Research Associate

University of Toronto, Toronto, Canada (June 2019 - July 2023)

• Conducted research in theoretical and computational physics, focusing on cosmology.
• Published research papers in peer-reviewed journals and presented findings at international conferences.
• Collaborated with interdisciplinary teams to explore novel materials and phenomena.

Projects

Gravitational Microlensing Adaptive Mesh Calibration

• Developed a cosmology simulation software using Python and specialized libraries.
• Implemented algorithms to simulate the evolution of the universe, including models of dark matter and dark energy.
• Explored applications of cosmological simulations in understanding galaxy formation, large-scale structure, and the cosmic microwave background.

Computational Astrophysics Research

• Utilized computational techniques to study the behavior of astrophysical phenomena such as supernovae and black holes.
• Investigated the dynamics of galaxy clusters and the gravitational lensing effect using numerical simulations.
• Contributed to the development of theoretical frameworks for interpreting observational data from telescopes and spacecraft.

Astronomy Education Outreach

• Organized outreach events to inspire interest in astronomy among K-12 students and the general public.
• Developed interactive demonstrations and immersive experiences to convey complex astronomical concepts.
• Collaborated with schools, planetariums, and science centers to foster a deeper understanding of the universe and encourage STEM engagement.

Technical Skills

• Programming Languages: Python, MATLAB, C/C++
• Computational Tools: Mathematica, COMSOL Multiphysics
• Data Analysis: NumPy, SciPy, Pandas

Contact Information

• Email: adamjlandry44@gmail.com
• GitHub: github.com/adamlandry