Dr. Gregor Kos
Lecturer, Chemistry and Biochemistry
Current office: SP 275.21
Postdoctoral studies (2003-2007), McGill University, Montreal, QC (Prof. Parisa Ariya)
PhD (2003), Vienna University of Technology, Vienna, Austria (Prof. Rudolf Krska)
Visiting scientist (2001), University of Idaho, Moscow, ID (Prof. Peter Griffiths)
MSc (2000), Vienna University of Technology, Vienna, Austria (Prof. Gernot Friedbacher)
MSc research (1999-2000), University of Plymouth, Plymouth, UK (Prof. Paul Worsfold)
I am an experienced environmental analytical scientist with a strong background in statistical treatment of data. I have significant field experience in developing and deploying analytical instrumentation in the High Arctic.
My current research at Concordia University in Montreal, Canada focuses on long-term observations of urban pollutants in major Canadian cities and includes statistical analysis of current and past (10 year) pollution data. I am interested in statistical analysis of medium sized data sets, including multivariate data analysis of partially dichotomous data. I am very much interested interpreting measurement data for the application and validation of atmospheric chemistry models. My main statistical tools for data analysis are python and R.
I develop field deployable sensors to track urban air pollution, with a focus on critical air pollutants and organics. The goal is to determine local pollution sources and transport and accurately measure actual exposure levels in real-time. I am part of the Decolonizing Light project that develops and deploys a citizen-science low-cost sensor air quality monitoring network in collaboration with the community of Kahnawake.
Previously, I was chapter lead and main author of the (peer-reviewed) Canadian Mercury Science Assessment, responsible for the Emissions Chapter. I took on this project as a result of a previous collaboration with Environment and Climate Change Canada, focusing on modelling of mercury transport in the atmosphere and validation with observations from AMNet stations.
I was a collaborator on the (now completed) EU funded FP7 MYCOSPEC project, where I performed multivariate modelling of mid-infrared data for classification of contaminated agricultural commodities. This included non-parametric machine learning algorithms such as bagged decision trees. Current collaborations that emerged from this work include the statistical analysis of mycotoxin concentrations from a global survey and a meta--analysis of occurrence data provided by the European Food Safety Authority (EFSA).
I also investigated the exchange of volatile organic compounds between snow and air. I employed GC-FID and GC-MS for field and lab based measurements and successfully deployed a GC-FID system in Alert, NU in 2006. Another field trip to Barrow, AK followed in 2009, where I participated in an IPY OASIS initiative. I now continue this work in an urban setting in a greater effort to trace local pollution levels.
My experience as a Manager for Analytics at Sixtron Advanced Materials in Dorval, Quebec in 2009 and 2010 included analytical development & process monitoring using GC-TCD/FID/MS. I performed and coordinated validation and data analysis from TGA, DSC, XRF, particle size measurements. I also was project manager for equipment deployment at a prospective Chinese customer.
Peer reviewed publications
CHEM 217 Introductory Analytical Chemistry I (3 credits)
Prerequisites: CHEM 205, 206; PHYS 204, 206, 224, 226; MATH 203, 205; or equivalents for all prerequisite courses
Precipitation methods and solubility products; activity, chemical equilibria and titration curves of neutralization and complexation systems; treatment of analytical data.
Lectures and laboratory.
CHEM 218 Introductory Analytical Chemistry II (3 credits)
Prerequisite: CHEM 217.
Chemical equilibria and titration curves of oxidation-reduction, precipitation, and non-aqueous systems; potentiometry and potentiometric titrations; introduction to spectroscopy with emphasis on molecular and atomic absorption spectroscopy, fluorescence spectroscopy.
Lectures and laboratory.
CHEM 234 Physical Chemistry I: Thermodynamics (3 credits)
Prerequisites: CHEM 205, 206; PHYS 204, 206, 224, 226; MATH 203, 205; or equivalents for all prerequisite courses.
The properties of ideal and real gases; first, second and third laws of thermodynamics; the phase rule; one‐ and two‐component systems; real solutions, and partial properties, chemical equilibrium.
Lectures and tutorials.
SFYX 201/202 Integrated Science Seminar (3/3 credits)
This seminar provides an integrated view of what is covered in the BIOL, CHEM, MATH and PHYS courses and disciplines. An inquiry project-based approach is at the centre of this course and includes aspects of all of the discipline-specific courses in order to foster an interdisciplinary perspective. A focus will be on the development of academic (e.g., writing/research) and personal (e.g., collaborative/communication) skills relevant to scientific disciplines.
Projects, presentations, field project (at an abandoned copper mine), guest lectures.
CHEM 298 Air, Water and Soil Processes (3 credits)
Prerequisites: CHEM212 or CHEM217
Introductory Environmental Chemistry with focus on atmospheric chemistry (air quality), water and soil chemistry. Includes an optional visit to a Montreal pollution monitoring station.
Lectures, student presentations.
CHEM 610/498 Advanced Data Analysis (3 credits)
An introduction to statistical programming using R and application to chemical data sets. Exploratory data analysis and plotting. Statistical methods discussed include linear regression, ANOVA, multivariate data analysis methods (e.g., PCA, PCR, PLS, decision trees, ANN). Introduction to Experimental Design.
In collaboration with Dr. D. Vuckovic and Dr. C. Skinner.
Lectures, projects, presentations.