mikhail.schee [at] gmail.com

Physics PhD with great attention to detail. Academically responsible, versatile, and reliable. Effective while working both individually and with a team.

Education

Doctor of Philosophy in Physics

Faculty of Arts & Science

University of Toronto - Toronto, ON, October 2024

Master of Science in Physics

Faculty of Arts & Science

University of Toronto - Toronto, ON, August 2019

Bachelor of Science in Physics

College of Science and Engineering

University of Minnesota - Twin Cities, MN, May 2018

Publications

Schee, M.G., E. Rosenblum, J.M. Lilly, and N. Grisouard (2024) “Unsupervised clustering identifies thermohaline staircases in the Canada Basin of the Arctic Ocean,” Environmental Data Science, 3:e13, 1-19, DOI: 10.1017/eds.2024.13

De Abreu, S., R.M. Cormier, M.G. Schee, V.E. Zemskova, E. Rosenblum, and N. Grisouard (2024) Two-dimensional Numerical Simulations of Mixing under Ice Keels, The Cryosphere, 18, 3159–3176, DOI: 10.5194/tc-18-3159-2024

Experience

Teaching Assistant - Department of Physics

University of Toronto - Toronto, ON, CAN

September 2018 – December 2023

Facilitated weekly laboratory practicals and study groups for undergraduate students for a variety of courses, both in person and online. In particular, assisted with the 4th-year Computational Physics course for 4 years. Provided feedback and guidance through hands on applications and written assessments.

Team Member - NASA DEVELOP National Program

Science Systems and Applications, Inc. Fort Collins, CO, USA

June 2018 – August 2018

Worked with a team on the Grand Canyon Water Resources Project to create remote sensing products with LandTrendr in Google Earth Engine to inform the National Park Service on land management decisions in Grand Canyon National Park.

Undergraduate Researcher - Land and Atmospheric Science Department

University of Minnesota - Minneapolis and St. Paul, MN, USA

January 2018 – May 2018

As part of the Undergraduate Research Opportunities Program (UROP), conducted a research project using the GEOS-Chem transport model and High Performance Computing (HPC) resources to establish background levels of formaldehyde (HCHO) over the remote Pacific from 2005 to 2015.