My first and foremost step is to bridge-in. I engage students to make them attentive.
Set the goal / objective of the lecture.
Pre-assess their knowledge and approach and relate the work with the last lecture.
Participatory learning is essential. I use it throughout my lecture.
Post-assess what they learned from the lecture.
Provide them a summary of the lecture.
I am a teacher and a PhD doctor. I like explaining complex math problems in the easiest ways. I like giving real world examples and sharing my experience to explain the scope and importance of Mathematics in real world problems.
My traveling fee within 5 km distance is same as $5. After 5km, I will charge $1 for every km.
My rates depend upon the student level. These rates are for pre-high school students. For each seniority year, I will charge $1 per hour extra. In case of any emergency, class can be rescheduled.
Profile Specialized in mathematical modeling of biochemical / biophysical processes involved in disease dynamics and microbial population dynamics. Articulated research experience in biomathematics including applications to disease dynamics, systems biology, ecology and evolution. Worked in interdisciplinary environments at prestigious institutes of Europe and North America.
Education Ph.D. Biomathematics, ENSM-SE, France 2010 – 2013
o Contribution to the mathematical modeling of immune response
– Multiscale modeling of T-cells activation process during acute viral infections,
– Numerical solution of hyperbolic PDEs and new computational method development
o Web link: (concealed information)
Bachelor and Master in Applied Mathematics, CIIT-ISB, Pakistan 2004 – 2010
o Majors: Particulate processes, differential equations modelling, numerical computation
Modeling skills: Age-structured Models, Population balance models, Reaction-diffusion models, compartmental models, therapeutic models, chain-binomial models, wave-equation models
Analytical skills: Stability / bifurcation analysis, travelling wave analysis, model reduction etc.
Programming skills: C++, Maple, MATLAB, Python, R
Python Packages: numpy, pandas, sklearn, math, statistics, matplotlib
Data Science Skills: Data preprocessing, exploratory analysis and division
Machine Learning Skills: Optimization (Random Forest, naïve Bayesian etc.), Classification, Linear and logistic Regression, Exact Fisher etc.
Research Fellow 2018
o Ruian Ke, Assist. Prof. at Dept. of Mathematics, North Carolina State University
Influenza virus interdiction through population engineering and restructuring,
Multiscale model of influenza virus dynamics
Senior Researcher 2017
o Marija Cvijovic, Assoc. Prof. at Dept. of Mathematical Sciences, Univ. of Gothenburg
Large scale model for the pedigree of yeast cells,
Damage retention strategies of yeast mother cell for a healthy colony.
Postdoctoral Fellow 2015 – 2016
o Lindi M Wahl, Prof. at Dept. of Applied Mathematics, University of Western Ontario
Co- evolutionary dynamics of phage-bacteria interaction in the presence of CRISPR/Cas system, therapeutic technique of eliminating bacteria with CRISPR/Cas inside biofilm.
o Geoff Wild, Prof. at Dept. of Applied Mathematics, University of Western Ontario
Agent based modeling for sex allocation theory in haplodiploidy population of wasps.
Research Associate 2014
o Chris Bauch, Prof. at Dept. of Applied Mathematics, Univ. of Waterloo
Impact of Human decisions on the environment in discrete stochastic settings.
o Ali Elkamel, Prof. at Dept. of Chemical Engineering, Univ. of Waterloo
CD3 molecule behavior during T-cells activation process.
TEACHING TRAININGS AND WORKSHOPS
Primary Instructorship and Teaching Assistant 2015
o Guest Lecturer: AM1201B, Bio-calculus for 1st year undergraduates, 4 Lectures,
o Primary Instructor: AM3615A, joined with AM9576A Math. Biology-I, Fall 2015
o Teaching Assistant: EMSE, France 2010 – 2013
o Instructional Skills Workshop (16 hours), TSC, Western University May 2015
o Teaching in Canadian Classrooms (16 hours), TSC, Western University April 2015
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