Teaching

Signal Modeling (BMEN E4420), Spring2023

Teaching Assistant, Columbia University, Department of Biomedical Engineering, 2023

Description: Fundamental concepts of signal processing in linear systems and stochastic processes. Estimation, detection and filtering methods applied to biomedical signals. Harmonic analysis, auto-regressive model, Wiener and Matched filters, linear discriminants, and independent components. Methods are developed to answer concrete questions on specific data sets in modalities such as ECG, EEG, MEG, Ultrasound. Lectures accompanied by data analysis assignments using MATLAB (more information).

Biostatistics (BMEN E4110), Fall2022

Teaching Assistant, Columbia University, Department of Biomedical Engineering, 2022

Description: Fundamental concepts of probability and statistics applied to biology and medicine. Probability distributions, hypothesis testing and inference, summarizing data and testing for trends. Signal detection theory and the receiver operator characteristic. Lectures accompanied by data analysis assignments using MATLAB as well as discussion of case studies in biomedicine (more information).

Signal Modeling (BMEN E4420), Spring2022

Teaching Assistant, Columbia University, Department of Biomedical Engineering, 2022

Description: Fundamental concepts of signal processing in linear systems and stochastic processes. Estimation, detection and filtering methods applied to biomedical signals. Harmonic analysis, auto-regressive model, Wiener and Matched filters, linear discriminants, and independent components. Methods are developed to answer concrete questions on specific data sets in modalities such as ECG, EEG, MEG, Ultrasound. Lectures accompanied by data analysis assignments using MATLAB (more information).