Teaching
George Washington University
Spring 2021
Machine Learning I (DATS-6202-10)
Machine Learning I (DATS-6202-11)
Algorithm Design for Data Science (DATS-6001-10)
Fall 2020
Machine Learning I (DATS-6202-10)
Machine Learning I (DATS-6202-11)
Summer 2020
Algorithm Design for Data Science (DATS-6001-10)
Bayesian Computing for Data Science (DATS-6311-10)
Spring 2020
Machine Learning I (DATS-6202-10)
Machine Learning I (DATS-6202-O10)
Fall 2019
CS Foundations (DATS-6450-10)
Bayesian Methods for Data Science (DATS-6450-11)
Machine Learning I (DATS-6202-10)
Machine Learning I (DATS-6202-11)
Summer 2019
Bayesian Methods for Data Science (DATS-6450-11)
Spring 2019
CS Foundations (DATS-6450-10)
CS Foundations (DATS-6450-16)
Bayesian Methods for Data Science (DATS-6450-11)
Machine Learning I (DATS-6202-O10)
Fall 2018
Machine Learning I (DATS-6202-10)
Machine Learning I (DATS-6202-11)
Bayesian Methods for Data Science (DATS-6450-11)
Summer 2018
Introduction to Data Mining (DATS-6103-10)
Bayesian Methods for Data Science (DATS-6450-11)
Spring 2018
Machine Learning I (DATS-6202-10)
Machine Learning I (DATS-6202-11)
Bayesian Methods for Data Science (DATS-6450-11)
Fall 2017
Bayesian Methods for Data Science (DATS-6450-11)
Rochester Institute of Technology
Summer 2017
Foundations of Intelligent Systems (CSCI-630-01)
Spring 2017
Introduction to Machine Learning (CSCI-739, created course)
Foundations of Intelligent Systems (CSCI-630-01)
Foundations of Intelligent Systems (CSCI-630-02)
Analysis of Algorithms (CSCI-261-02)
Winter 2016
Foundations of Computer Science Theory (CSCI-660)
Computational Problem Solving (CSCI-602)
Fall 2016
Mechanics of Programming (CSCI-243-08)
Stevens Institute of Technology
Spring 2016
Health Informatics (CS-544, Guest Lecturer)
Spring 2015
Health Informatics (CS-544, Guest Lecturer)
Fall 2014
Causal Inference (CS-582, Guest Lecturer)