$60/hour

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I am an engineering professor with active faculty appointments with the biomedical engineering departments of Duquesne University, University of Pittsburgh and University of Texas at San Antonio. Prior to this, I was on the faculty at Carnegie Mellon University's Electrical & Computer Engineering department (2013-2015). I taught several courses

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Science:

Biostatistics
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As a practicing biomedical engineer and data-scientist, I am routinely engaged in real-world efforts involving biostatistical modeling and design of clinically relevant statistical trials / experiments, to prove the merit of novel biomarkers of disease or study the statistical significance of the efficaciousness of pharmaceutical or patient-specific surgical therapies. Therefore, subjects including the selection and analysis of theoretical probability distributions, regression studies, machine learning and statistical programming (in Matlab or R code) are within my areas of expertise. I routinely offer tutoring in these subject areas.

Calculus is an integral of my everyday research work on Biosignal and Biomedical image analysis. Further, it is an integral part of the coursework I currently teach to both undergrads and grad students in Pitt (and in prior years, at CMU as well). I also conduct pre-calculus as well as calculus tuitions for undergraduate students in colleges across the US through online tutoring platforms, on a routine basis.

As an engineer and practicing data scientist, calculus, linear algebra, probability statistics and visualization of complex mathematical functions or geometries, comes naturally to me and is highly relevant to my everyday work in terms of both teaching as well as my research program. I routinely offer graduate-level, undergraduate-level and high-school-level tutoring in mathematics, on subjects ranging from pre-calculus and coordinate geometry to linear algebra and probability theory.

Specifically in regard to Linear Algebra, the graduate coursework I offer annually on biosignals & systems as well as biomedical imaging at Duquesne University and University of Pittsburgh (and previously at Carnegie Mellon University) are founded on principles of linear systems modeling and solving Ax=b type linear matrix equation systems. I am, therefore, quite well versed with the subject of vector / matrix algebra, in general, and additionally I am well versed with solving matrix systems encountered through linear algebra using programmatic approaches in Matlab and R.

I have written over 100,000 lines of Matlab code between 2009 and 2016. I teach graduate and undergraduate coursework wherein assignments and quizzes have their practical underpinnings in programming using Matlab. I have taught a Matlab Programming course in Duquesne University in Spring 2016, offered to a class of freshmen undergraduate biomedical engineering students.

I have written over 10,000 lines of R code between 2009 and 2016. I teach graduate and undergraduate coursework which involves performing Regression Analysis and statistical testing (including using ANOVA, T-tests, F-tests etc.), in R. I write machine learning based predictive machine-learning models for the financial markets, using R. I have also written algorithmic trading robots built in R and integrated the core models within Shiny web-application interfaces, to facilitate data visualization and interactive model training / testing.

I am well versed with basic to advanced statistical analysis owing to my professional experience (through my research program) for biostatistical analysis of clinical trials data as well as statistical analysis of biomedical datasets in general (including but not limited to time series signal data and medical images). I also teach statistics, as a tutor, to students in graduate and undergraduate programs around the country, on a daily basis through online tutoring platforms.

I have lots of experience with statistical programming in languages including Matlab and R (as well as SAS, Excel etc.), which can help with learning process as programming helps in illustrating concepts through practical examples.

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Engineering Professor: Data science, Biostatistics, Programming