Nuclear science, taught from the models up.

What he has taught

At the Royal Military College of Canada he taught Nuclear Science and Engineering to senior undergraduates and officer cadets (2019–2022), and a course on the fundamentals of nuclear science and engineering for military professionals in chemical, biological, radiological and nuclear defence (CBRN), covering radiation transport and effects, nonproliferation, emergency response and decision-making (2021–2022). Since 2022 he has taught chemistry and physics at St. Lawrence College.

His other courses include radiation transport and computational modelling (2017–2020), using MCNP and Serpent for core modelling, shielding optimisation and dose assessment; physical chemistry; advanced mathematics; and general chemistry for pre-health students. Earlier he taught radiation detection techniques, medical physics and electronic circuit analysis (2004–2007), secondary-school physics to five national curricula (1995–2007), and undergraduate physics laboratories at Alexandria University (1993–1995).

Courses ready to teach

Twelve courses are ready to design and deliver, from science for non-majors to graduate reactor physics. The nuclear ones are Computational Nuclear Engineering, Advanced Reactor Physics, Nuclear Fuel Cycle and Design, Nuclear Safety and Nonproliferation, Radiation Physics and Shielding, Applied Radiochemistry, and Nuclear Radiation and Instrumentation. Each is listed with its level and scope on the Teaching page.

The computational courses draw directly on his research. Most of the papers he published between 2013 and 2016 compare two or more reactor codes on the same problem, and his doctoral thesis built six full-core models of a new reactor concept in Serpent. His teaching of MCNP and Serpent (2017–2020) followed the same order: build the model, then check it against an independent one.

How he teaches

He treats teaching as a discipline in its own right. He holds a Higher Education Teaching Certificate from Harvard’s Derek Bok Center (2022), completed Queen’s University’s course on teaching in higher education (2015), and earned a graduate diploma in education and digital technology at Ontario Tech University.

In the classroom that shows up as concrete practice. His RMC students toured the SLOWPOKE research reactor and ran a live neutron-activation experiment. Coding exercises in Python, MATLAB and C++ are stepped so students build their own simulations. Homework drafts are peer-graded anonymously, and the course itself is evaluated anonymously at mid-semester. His 2022 book chapter examines augmented reality as a tool for teaching chemistry.